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ORCIDKristina Lerman
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- affiliation: University of Southern California, Information Sciences Institute, Los Angeles, USA
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2020 – today
- 2024
[c163]Zihao He, Siyi Guo, Ashwin Rao, Kristina Lerman:
Whose Emotions and Moral Sentiments do Language Models Reflect? ACL (Findings) 2024: 6611-6631- [c162]Nathan Bartley
, Keith Burghardt, Kristina Lerman:
Bias Reduction in Social Networks Through Agent-Based Simulations. BIAS 2024: 64-77 - [c161]Hsien-Te Kao, Isabel Erickson, Minh Duc Hoang Chu, Zihao He, Kristina Lerman, Svitlana Volkova:
Machine Learning Insights Into Eating Disorder Twitter Communities. CHI Extended Abstracts 2024: 233:1-233:8 - [c160]Rebecca Dorn, Lee Kezar, Fred Morstatter, Kristina Lerman:
Harmful Speech Detection by Language Models Exhibits Gender-Queer Dialect Bias. EAAMO 2024: 6:1-6:12 - [c159]Zihao He, Ashwin Rao, Siyi Guo, Negar Mokhberian, Kristina Lerman:
Reading Between the Tweets: Deciphering Ideological Stances of Interconnected Mixed-Ideology Communities. EACL (Findings) 2024: 1523-1536 - [c158]Keith Burghardt, Ashwin Rao, Georgios Chochlakis, Sabyasachee Baruah, Siyi Guo, Zihao He, Andrew Rojecki, Shrikanth Narayanan, Kristina Lerman:
Socio-Linguistic Characteristics of Coordinated Inauthentic Accounts. ICWSM 2024: 164-176 - [c157]Zihao He, Jonathan May, Kristina Lerman:
CPL-NoViD: Context-Aware Prompt-Based Learning for Norm Violation Detection in Online Communities. ICWSM 2024: 569-582 - [c156]Wanying Zhao, Siyi Guo, Kristina Lerman, Yong-Yeol Ahn:
Discovering Collective Narratives Shifts in Online Discussions. ICWSM 2024: 1804-1817 - [c155]Kai Chen, Zihao He, Keith Burghardt, Jingxin Zhang, Kristina Lerman:
IsamasRed: A Public Dataset Tracking Reddit Discussions on Israel-Hamas Conflict. ICWSM 2024: 1900-1912 - [c154]Negar Mokhberian, Myrl G. Marmarelis, Frederic R. Hopp, Valerio Basile, Fred Morstatter, Kristina Lerman:
Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks. NAACL-HLT 2024: 7337-7349 - [i182]Siyi Guo, Zihao He, Ashwin Rao, Fred Morstatter, P. Jeffrey Brantingham, Kristina Lerman:
The Pulse of Mood Online: Unveiling Emotional Reactions in a Dynamic Social Media Landscape. CoRR abs/2401.06275 (2024) - [i181]Kai Chen, Zihao He, Keith Burghardt, Jingxin Zhang, Kristina Lerman:
IsamasRed: A Public Dataset Tracking Reddit Discussions on Israel-Hamas Conflict. CoRR abs/2401.08202 (2024) - [i180]Minh Duc Chu, Aryan Karnati, Zihao He, Kristina Lerman:
Characterizing Online Eating Disorder Communities with Large Language Models. CoRR abs/2401.09647 (2024) - [i179]Zihao He, Ashwin Rao, Siyi Guo, Negar Mokhberian, Kristina Lerman:
Reading Between the Tweets: Deciphering Ideological Stances of Interconnected Mixed-Ideology Communities. CoRR abs/2402.01091 (2024) - [i178]Gabriela Pinto, Keith Burghardt, Kristina Lerman, Emilio Ferrara:
GET-Tok: A GenAI-Enriched Multimodal TikTok Dataset Documenting the 2022 Attempted Coup in Peru. CoRR abs/2402.05882 (2024) - [i177]Zihao He, Siyi Guo, Ashwin Rao, Kristina Lerman:
Whose Emotions and Moral Sentiments Do Language Models Reflect? CoRR abs/2402.11114 (2024) - [i176]Kai Chen, Zihao He, Jun Yan, Taiwei Shi, Kristina Lerman:
How Susceptible are Large Language Models to Ideological Manipulation? CoRR abs/2402.11725 (2024) - [i175]Abhishek Anand, Negar Mokhberian, Prathyusha Naresh Kumar, Anweasha Saha, Zihao He, Ashwin Rao, Fred Morstatter, Kristina Lerman:
Don't Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations. CoRR abs/2403.04085 (2024) - [i174]Buddhika Nettasinghe, Allon G. Percus, Kristina Lerman:
Dynamics of Affective Polarization: From Consensus to Partisan Divides. CoRR abs/2403.16940 (2024) - [i173]Georgios Chochlakis, Alexandros Potamianos, Kristina Lerman, Shrikanth Narayanan:
The Strong Pull of Prior Knowledge in Large Language Models and Its Impact on Emotion Recognition. CoRR abs/2403.17125 (2024) - [i172]Charles Bickham, Kia Kazemi-Nia, Luca Luceri, Kristina Lerman, Emilio Ferrara:
Hidden in Plain Sight: Exploring the Intersections of Mental Health, Eating Disorders, and Content Moderation on TikTok. CoRR abs/2404.15457 (2024) - [i171]Keith Burghardt, Kai Chen, Kristina Lerman:
Large Language Models Reveal Information Operation Goals, Tactics, and Narrative Frames. CoRR abs/2405.03688 (2024) - [i170]Siyi Guo, Keith Burghardt, Valeria Pantè, Kristina Lerman:
SoMeR: Multi-View User Representation Learning for Social Media. CoRR abs/2405.05275 (2024) - [i169]Daniel Hickey, Daniel M. T. Fessler, Kristina Lerman, Keith Burghardt:
The Peripatetic Hater: Predicting Movement Among Hate Subreddits. CoRR abs/2405.17410 (2024) - [i168]Keith Burghardt, Daniel Fessler, Chyna Tang, Anne Pisor, Kristina Lerman:
Trust and Terror: Hazards in Text Reveal Negatively Biased Credulity and Partisan Negativity Bias. CoRR abs/2405.17838 (2024) - [i167]Daniel Hickey, Matheus Schmitz, Daniel Fessler, Paul E. Smaldino, Kristina Lerman, Goran Muric, Keith Burghardt:
Hostile Counterspeech Drives Users From Hate Subreddits. CoRR abs/2405.18374 (2024) - [i166]Rebecca Dorn, Lee Kezar, Fred Morstatter, Kristina Lerman:
Harmful Speech Detection by Language Models Exhibits Gender-Queer Dialect Bias. CoRR abs/2406.00020 (2024) - [i165]Ashwin Rao, Nazanin Sabri, Siyi Guo, Louiqa Raschid, Kristina Lerman:
#EpiTwitter: Public Health Messaging During the COVID-19 Pandemic. CoRR abs/2406.01866 (2024) - [i164]Zihao He, Rebecca Dorn, Siyi Guo, Minh Duc Chu, Kristina Lerman:
COMMUNITY-CROSS-INSTRUCT: Unsupervised Instruction Generation for Aligning Large Language Models to Online Communities. CoRR abs/2406.12074 (2024) - [i163]Cinthia Sánchez, Minh Duc Chu, Zihao He, Rebecca Dorn, Stuart Murray, Kristina Lerman:
Feelings about Bodies: Emotions on Diet and Fitness Forums Reveal Gendered Stereotypes and Body Image Concerns. CoRR abs/2407.03551 (2024) - [i162]Minh Duc Chu, Zihao He, Rebecca Dorn, Kristina Lerman:
Improving and Assessing the Fidelity of Large Language Models Alignment to Online Communities. CoRR abs/2408.09366 (2024) - [i161]Louis Penafiel, Hsien-Te Kao, Isabel Erickson, David Chu, Robert McCormack, Kristina Lerman, Svitlana Volkova:
Towards Safer Online Spaces: Simulating and Assessing Intervention Strategies for Eating Disorder Discussions. CoRR abs/2409.04043 (2024) - [i160]Georgios Chochlakis, Niyantha Maruthu Pandiyan, Kristina Lerman, Shrikanth Narayanan:
Larger Language Models Don't Care How You Think: Why Chain-of-Thought Prompting Fails in Subjective Tasks. CoRR abs/2409.06173 (2024) - [i159]Patrick Gérard, Svitlana Volkova, Louis Penafiel, Kristina Lerman, Tim Weninger:
Modeling Information Narrative Detection and Evolution on Telegram during the Russia-Ukraine War. CoRR abs/2409.07684 (2024) - [i158]Kian Ahrabian, Casandra Rusti, Ziao Wang, Jay Pujara, Kristina Lerman:
Surprising Resilience of Science During a Global Pandemic: A Large-Scale Descriptive Analysis. CoRR abs/2409.07710 (2024) - [i157]Patrick Gérard, William Theisen, Tim Weninger, Kristina Lerman:
Fear and Loathing on the Frontline: Decoding the Language of Othering by Russia-Ukraine War Bloggers. CoRR abs/2409.13064 (2024) - [i156]Nathan Bartley, Kristina Lerman:
RTs != Endorsements: Rethinking Exposure Fairness on Social Media Platforms. CoRR abs/2409.13237 (2024) - [i155]Nathan Bartley, Keith Burghardt, Kristina Lerman:
Bias Reduction in Social Networks through Agent-Based Simulations. CoRR abs/2409.16558 (2024) - 2023
- [j49]Rumi Ghosh, Kristina Lerman, Tawan Surachawala, Konstantin Voevodski, Shang-Hua Teng:
Non-conservative diffusion and its application to social network analysis. J. Complex Networks 12(1) (2023) - [c153]Ashwin Rao, Fred Morstatter, Kristina Lerman:
Retweets Amplify the Echo Chamber Effect. ASONAM 2023: 30-37 - [c152]Siyi Guo, Zihao He, Ashwin Rao, Eugene Jang, Yuanfeixue Nan, Fred Morstatter, P. Jeffrey Brantingham, Kristina Lerman:
Measuring Online Emotional Reactions to Events. ASONAM 2023: 315-319 - [c151]Nathan Bartley, Keith Burghardt, Kristina Lerman:
Evaluating Content Exposure Bias in Social Networks. ASONAM 2023: 379-383 - [c150]Ashwin Rao, Siyi Guo, Sze-Yuh Nina Wang, Fred Morstatter, Kristina Lerman:
Pandemic Culture Wars: Partisan Differences in the Moral Language of COVID-19 Discussions. IEEE Big Data 2023: 413-422 - [c149]Zihao He, Weituo Hao, Wei Tsung Lu, Changyou Chen, Kristina Lerman, Xuchen Song:
ALCAP: Alignment-Augmented Music Captioner. EMNLP 2023: 16501-16512 - [c148]Georgios Chochlakis, Gireesh Mahajan, Sabyasachee Baruah, Keith Burghardt, Kristina Lerman, Shrikanth Narayanan:
Leveraging Label Correlations in a Multi-Label Setting: a Case Study in Emotion. ICASSP 2023: 1-5 - [c147]Georgios Chochlakis, Gireesh Mahajan, Sabyasachee Baruah, Keith Burghardt, Kristina Lerman, Shrikanth Narayanan:
Using Emotion Embeddings to Transfer Knowledge between Emotions, Languages, and Annotation Formats. ICASSP 2023: 1-5 - [c146]Homa Hosseinmardi, Amir Ghasemian, Kristina Lerman, Shrikanth Narayanan, Emilio Ferrara:
Tensor Embedding: A Supervised Framework for Human Behavioral Data Mining and Prediction. ICHI 2023: 91-100 - [c145]Julie Jiang, Kristina Lerman, Emilio Ferrara:
Zero-Shot Meta-Learning for Small-Scale Data From Human Subjects. ICHI 2023: 311-320 - [c144]Siyi Guo, Negar Mokhberian, Kristina Lerman:
A Data Fusion Framework for Multi-Domain Morality Learning. ICWSM 2023: 281-291 - [c143]Rong-Ching Chang, Ashwin Rao, Qiankun Zhong, Magdalena Wojcieszak, Kristina Lerman:
#RoeOverturned: Twitter Dataset on the Abortion Rights Controversy. ICWSM 2023: 997-1005 - [c142]Kai Chen, Zihao He, Rong-Ching Chang, Jonathan May, Kristina Lerman:
Anger Breeds Controversy: Analyzing Controversy and Emotions on Reddit. SBP-BRiMS 2023: 44-53 - [c141]Rong-Ching Chang, Jonathan May, Kristina Lerman:
Feedback Loops and Complex Dynamics of Harmful Speech in Online Discussions. SBP-BRiMS 2023: 85-94 - [i154]Christopher Tran, Keith Burghardt, Kristina Lerman, Elena Zheleva:
Data-Driven Estimation of Heterogeneous Treatment Effects. CoRR abs/2301.06615 (2023) - [i153]Rebecca Dorn, Yiwen Ma, Fred Morstatter, Kristina Lerman:
Gender and Prestige Bias in Coronavirus News Reporting. CoRR abs/2301.11994 (2023) - [i152]Rong-Ching Chang, Ashwin Rao, Qiankun Zhong, Magdalena Wojcieszak, Kristina Lerman:
#RoeOverturned: Twitter Dataset on the Abortion Rights Controversy. CoRR abs/2302.01439 (2023) - [i151]Rebecca Dorn, Julie Jiang, Jeremy Abramson, Kristina Lerman:
Non-Binary Gender Expression in Online Interactions. CoRR abs/2303.04837 (2023) - [i150]Siyi Guo, Negar Mokhberian, Kristina Lerman:
A Data Fusion Framework for Multi-Domain Morality Learning. CoRR abs/2304.02144 (2023) - [i149]Haochen Pi, Keith Burghardt, Allon G. Percus, Kristina Lerman:
Clique Densification in Networks. CoRR abs/2304.03479 (2023) - [i148]Zihao He, Jonathan May, Kristina Lerman:
CPL-NoViD: Context-Aware Prompt-based Learning for Norm Violation Detection in Online Communities. CoRR abs/2305.09846 (2023) - [i147]Kristina Lerman, Aryan Karnati, Shuchan Zhou, Siyi Chen, Sudesh Kumar, Zihao He, Joanna Yau, Abigail Horn:
Radicalized by Thinness: Using a Model of Radicalization to Understand Pro-Anorexia Communities on Twitter. CoRR abs/2305.11316 (2023) - [i146]Keith Burghardt, Ashwin Rao, Siyi Guo, Zihao He, Georgios Chochlakis, Sabyasachee Baruah, Andrew Rojecki, Shri Narayanan, Kristina Lerman:
Socio-Linguistic Characteristics of Coordinated Inauthentic Accounts. CoRR abs/2305.11867 (2023) - [i145]Ashwin Rao, Siyi Guo, Sze-Yuh Nina Wang, Fred Morstatter, Kristina Lerman:
Pandemic Culture Wars: Partisan Asymmetries in the Moral Language of COVID-19 Discussions. CoRR abs/2305.18533 (2023) - [i144]Wanying Zhao, Fiona Guo, Kristina Lerman, Yong-Yeol Ahn:
Discovering collective narratives shifts in online discussions. CoRR abs/2307.08541 (2023) - [i143]Siyi Guo, Zihao He, Ashwin Rao, Eugene Jang, Yuanfeixue Nan, Fred Morstatter, P. Jeffrey Brantingham, Kristina Lerman:
Measuring Online Emotional Reactions to Offline Events. CoRR abs/2307.10245 (2023) - [i142]Dan Feldman, Ashwin Rao, Zihao He, Kristina Lerman:
Affective Polarization in Social Networks. CoRR abs/2310.18553 (2023) - [i141]Zihao He, Siyi Guo, Ashwin Rao, Kristina Lerman:
Inducing Political Bias Allows Language Models Anticipate Partisan Reactions to Controversies. CoRR abs/2311.09687 (2023) - [i140]Negar Mokhberian, Myrl G. Marmarelis, Frederic R. Hopp, Valerio Basile, Fred Morstatter, Kristina Lerman:
Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks. CoRR abs/2311.09743 (2023) - [i139]Ashwin Rao, Rong-Ching Chang, Qiankun Zhong, Kristina Lerman, Magdalena Wojcieszak:
Tracking a Year of Polarized Twitter Discourse on Abortion. CoRR abs/2311.16831 (2023) - 2022
- [j48]Goran Muric, Alexey Tregubov, Jim Blythe, Andrés Abeliuk, Divya Choudhary, Kristina Lerman, Emilio Ferrara:
Large-scale agent-based simulations of online social networks. Auton. Agents Multi Agent Syst. 36(2): 38 (2022) - [j47]Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, Aram Galstyan:
A Survey on Bias and Fairness in Machine Learning. ACM Comput. Surv. 54(6): 115:1-115:35 (2022) - [j46]Yuzi He, Keith A. Burghardt, Kristina Lerman:
Leveraging change point detection to discover natural experiments in data. EPJ Data Sci. 11(1): 49 (2022) - [j45]Keith Burghardt, Johannes H. Uhl, Kristina Lerman, Stefan Leyk:
Road network evolution in the urban and rural United States since 1900. Comput. Environ. Urban Syst. 95: 101803 (2022) - [c140]Yuzi He, Keith Burghardt, Siyi Guo, Kristina Lerman:
Learning Fairer Interventions. AIES 2022: 317-323 - [c139]Negar Mokhberian, Frederic R. Hopp, Bahareh Harandizadeh, Fred Morstatter, Kristina Lerman:
Noise Audits Improve Moral Foundation Classification. ASONAM 2022: 147-154 - [c138]Kristina Lerman:
The Social Emotional Web. CIC 2022: 26-30 - [c137]Siyi Guo, Keith Burghardt, Ashwin Rao, Kristina Lerman:
Emotion Regulation and Dynamics of Moral Concerns During the Early COVID-19 Pandemic. ICWSM Workshops 2022 - [c136]Kexuan Sun, Zhiqiang Qiu, Abel Salinas, Yuzhong Huang, Dong-Ho Lee, Daniel Benjamin, Fred Morstatter, Xiang Ren, Kristina Lerman, Jay Pujara:
Assessing Scientific Research Papers with Knowledge Graphs. SIGIR 2022: 2467-2472 - [c135]Zihao He, Negar Mokhberian, Kristina Lerman:
Infusing Knowledge from Wikipedia to Enhance Stance Detection. WASSA@ACL 2022: 71-77 - [i138]Keith Burghardt, Kristina Lerman:
Emergent Instabilities in Algorithmic Feedback Loops. CoRR abs/2201.07203 (2022) - [i137]Ashwin Rao, Fred Morstatter, Kristina Lerman:
Partisan Asymmetries in Exposure to Misinformation. CoRR abs/2203.01350 (2022) - [i136]Siyi Guo, Keith Burghardt, Ashwin Rao, Kristina Lerman:
Emotion Regulation and Dynamics of Moral Concerns During the Early COVID-19 Pandemic. CoRR abs/2203.03608 (2022) - [i135]Julie Jiang, Kristina Lerman, Emilio Ferrara:
Zero-shot meta-learning for small-scale data from human subjects. CoRR abs/2203.16309 (2022) - [i134]Zihao He, Negar Mokhberian, Kristina Lerman:
Infusing Knowledge from Wikipedia to Enhance Stance Detection. CoRR abs/2204.03839 (2022) - [i133]Negar Mokhberian, Frederic R. Hopp, Bahareh Harandizadeh, Fred Morstatter, Kristina Lerman:
Noise Audits Improve Moral Foundation Classification. CoRR abs/2210.07415 (2022) - [i132]Georgios Chochlakis, Gireesh Mahajan, Sabyasachee Baruah, Keith Burghardt, Kristina Lerman, Shrikanth Narayanan:
Leveraging Label Correlations in a Multi-label Setting: A Case Study in Emotion. CoRR abs/2210.15842 (2022) - [i131]Georgios Chochlakis, Gireesh Mahajan, Sabyasachee Baruah, Keith Burghardt, Kristina Lerman, Shrikanth Narayanan:
Using Emotion Embeddings to Transfer Knowledge Between Emotions, Languages, and Annotation Formats. CoRR abs/2211.00171 (2022) - [i130]Ashwin Rao, Fred Morstatter, Kristina Lerman:
Retweets Distort Exposure to Polarized Information. CoRR abs/2211.16480 (2022) - [i129]Kai Chen, Zihao He, Rong-Ching Chang, Jonathan May, Kristina Lerman:
Anger Breeds Controversy: Analyzing Controversy and Emotions on Reddit. CoRR abs/2212.00339 (2022) - [i128]Kristina Lerman:
The Social Emotional Web. CoRR abs/2212.03810 (2022) - 2021
- [j44]Lisette Espín-Noboa, Fariba Karimi, Bruno Ribeiro, Kristina Lerman, Claudia Wagner:
Explaining classification performance and bias via network structure and sampling technique. Appl. Netw. Sci. 6(1): 78 (2021) - [j43]Buddhika Nettasinghe, Nazanin Alipourfard, Stephen Iota, Vikram Krishnamurthy, Kristina Lerman:
Scale-free degree distributions, homophily and the glass ceiling effect in directed networks. J. Complex Networks 10(2) (2021) - [j42]Minda Hu, Ashwin Rao, Mayank Kejriwal, Kristina Lerman:
Socioeconomic Correlates of Anti-Science Attitudes in the US. Future Internet 13(6): 160 (2021) - [j41]Sandeep Soni, Kristina Lerman, Jacob Eisenstein:
Follow the leader: Documents on the leading edge of semantic change get more citations. J. Assoc. Inf. Sci. Technol. 72(4): 478-492 (2021) - [j40]Julie Jiang, Danaja Maldeniya, Kristina Lerman, Emilio Ferrara:
The Wide, the Deep, and the Maverick: Types of Players in Team-based Online Games. Proc. ACM Hum. Comput. Interact. 5(CSCW1): 191:1-191:26 (2021) - [j39]José Luis Ambite, Lily Fierro, Jonathan Gordon, Gully A. P. C. Burns, Florian Geigl, Kristina Lerman, John D. Van Horn:
BD2K Training Coordinating Center's ERuDIte: The Educational Resource Discovery Index for Data Science. IEEE Trans. Emerg. Top. Comput. 9(1): 316-328 (2021) - [c134]Shen Yan, Hsien-Te Kao, Kristina Lerman, Shrikanth Narayanan, Emilio Ferrara:
Mitigating the Bias of Heterogeneous Human Behavior in Affective Computing. ACII 2021: 1-8 - [c133]Zihao He, Negar Mokhberian, António Câmara, Andrés Abeliuk, Kristina Lerman:
Detecting Polarized Topics Using Partisanship-aware Contextualized Topic Embeddings. EMNLP (Findings) 2021: 2102-2118 - [c132]Zihao He, Leili Tavabi, Kristina Lerman, Mohammad Soleymani:
Speaker Turn Modeling for Dialogue Act Classification. EMNLP (Findings) 2021: 2150-2157 - [c131]Yuzi He, Christopher Tran, Julie Jiang, Keith Burghardt, Emilio Ferrara, Elena Zheleva, Kristina Lerman:
Heterogeneous Effects of Software Patches in aMultiplayer Online Battle Arena Game. FDG 2021: 11:1-11:9 - [c130]J. Hunter Priniski, Negar Mokhberian, Bahareh Harandizadeh, Fred Morstatter, Kristina Lerman, Hongjing Lu, P. Jeffrey Brantingham:
Mapping Moral Valence of Tweets Following The Killing of George Floyd. ICWSM Workshops 2021 - [c129]Yuzi He, Ashwin Rao, Keith Burghardt, Kristina Lerman:
Identifying Shifts in Collective Attention to Topics on Social Media. SBP-BRiMS 2021: 224-234 - [c128]Keith Burghardt, Nazgol Tavabi, Emilio Ferrara, Shrikanth Narayanan, Kristina Lerman:
Having a Bad Day? Detecting the Impact of Atypical Events Using Wearable Sensors. SBP-BRiMS 2021: 257-267 - [c127]Tiago Santos, Keith Burghardt, Kristina Lerman, Denis Helic:
Limiting Tags Fosters Efficiency. WebSci 2021: 46-55 - [c126]Nathan Bartley, Andrés Abeliuk, Emilio Ferrara, Kristina Lerman:
Auditing Algorithmic Bias on Twitter. WebSci 2021: 65-73 - [i127]Keith A. Burghardt, Allon G. Percus, Kristina Lerman:
A Model of Densifying Collaboration Networks. CoRR abs/2101.11056 (2021) - [i126]Julie Jiang, Kristina Lerman, Emilio Ferrara:
Individualized Context-Aware Tensor Factorization for Online Games Predictions. CoRR abs/2102.11352 (2021) - [i125]Buddhika Nettasinghe, Nazanin Alipourfard, Vikram Krishnamurthy, Kristina Lerman:
Emergence of Structural Inequalities in Scientific Citation Networks. CoRR abs/2103.10944 (2021) - [i124]Buddhika Nettasinghe, Nazanin Alipourfard, Vikram Krishnamurthy, Kristina Lerman:
A Directed, Bi-Populated Preferential Attachment Model with Applications to Analyzing the Glass Ceiling Effect. CoRR abs/2103.12149 (2021) - [i123]Tiago Santos, Keith Burghardt, Kristina Lerman, Denis Helic:
Limiting Tags Fosters Efficiency. CoRR abs/2104.01028 (2021) - [i122]Zihao He, Negar Mokhberian, António Câmara, Andrés Abeliuk, Kristina Lerman:
Detecting Polarized Topics in COVID-19 News Using Partisanship-aware Contextualized Topic Embeddings. CoRR abs/2104.07814 (2021) - [i121]J. Hunter Priniski, Negar Mokhberian, Bahareh Harandizadeh, Fred Morstatter, Kristina Lerman, Hongjing Lu, P. Jeffrey Brantingham:
Mapping Moral Valence of Tweets Following the Killing of George Floyd. CoRR abs/2104.09578 (2021) - [i120]Nazgol Tavabi, Kristina Lerman:
Pattern Discovery in Time Series with Byte Pair Encoding. CoRR abs/2106.00614 (2021) - [i119]Nazanin Alipourfard, Keith Burghardt, Kristina Lerman:
DoGR: Disaggregated Gaussian Regression for Reproducible Analysis of Heterogeneous Data. CoRR abs/2108.13581 (2021) - [i118]Zihao He, Leili Tavabi, Kristina Lerman, Mohammad Soleymani:
Speaker Turn Modeling for Dialogue Act Classification. CoRR abs/2109.05056 (2021) - [i117]Yuzi He, Christopher Tran, Julie Jiang, Keith Burghardt, Emilio Ferrara, Elena Zheleva, Kristina Lerman:
Heterogeneous Effects of Software Patches in a Multiplayer Online Battle Arena Game. CoRR abs/2110.14632 (2021) - 2020
- [j38]Hsien-Te Kao, Shen Yan, Homa Hosseinmardi, Shrikanth Narayanan, Kristina Lerman, Emilio Ferrara:
User-Based Collaborative Filtering Mobile Health System. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(4): 165:1-165:17 (2020) - [j37]Shen Yan, Homa Hosseinmardi, Hsien-Te Kao, Shrikanth Narayanan, Kristina Lerman, Emilio Ferrara:
Affect Estimation with Wearable Sensors. J. Heal. Informatics Res. 4(3): 261-294 (2020) - [j36]Keith Burghardt, Tad Hogg, Raissa M. D'Souza, Kristina Lerman, Márton Pósfai:
Origins of Algorithmic Instabilities in Crowdsourced Ranking. Proc. ACM Hum. Comput. Interact. 4(CSCW2): 166:1-166:20 (2020) - [j35]Buddhika Nettasinghe, Vikram Krishnamurthy, Kristina Lerman:
Diffusion in Social Networks: Effects of Monophilic Contagion, Friendship Paradox, and Reactive Networks. IEEE Trans. Netw. Sci. Eng. 7(3): 1121-1132 (2020) - [c125]Yuzi He, Keith Burghardt, Kristina Lerman:
A Geometric Solution to Fair Representations. AIES 2020: 279-285 - [c124]Goran Muric, Alexey Tregubov, Jim Blythe, Andrés Abeliuk, Divya Choudhary, Kristina Lerman, Emilio Ferrara:
Massive Cross-Platform Simulations of Online Social Networks. AAMAS 2020: 895-903 - [c123]Julie Jiang, Kristina Lerman, Emilio Ferrara:
Individualized Context-Aware Tensor Factorization for Online Games Predictions. ICDM (Workshops) 2020: 292-299 - [c122]Tiago Santos, Keith Burghardt, Kristina Lerman, Denis Helic:
Can Badges Foster a More Welcoming Culture on Q&A Boards? ICWSM 2020: 969-973 - [c121]Nazgol Tavabi, Homa Hosseinmardi, Jennifer L. Villatte, Andrés Abeliuk, Shrikanth Narayanan, Emilio Ferrara, Kristina Lerman:
Learning Behavioral Representations from Wearable Sensors. SBP-BRiMS 2020: 245-254 - [c120]Negar Mokhberian, Andrés Abeliuk, Patrick Cummings, Kristina Lerman:
Moral Framing and Ideological Bias of News. SocInfo 2020: 206-219 - [c119]Nazgol Tavabi, Andrés Abeliuk, Negar Mokhberian, Jeremy Abramson, Kristina Lerman:
Challenges in Forecasting Malicious Events from Incomplete Data. WWW (Companion Volume) 2020: 603-610 - [c118]Di Huang, Zihao He, Yuzhong Huang, Kexuan Sun, Sami Abu-El-Haija, Bryan Perozzi, Kristina Lerman, Fred Morstatter, Aram Galstyan:
Graph Embedding with Personalized Context Distribution. WWW (Companion Volume) 2020: 655-661 - [i116]Andrés Abeliuk, Zhishen Huang, Emilio Ferrara, Kristina Lerman:
Predictability limit of partially observed systems. CoRR abs/2001.06547 (2020) - [i115]Emily Chen, Kristina Lerman, Emilio Ferrara:
COVID-19: The First Public Coronavirus Twitter Dataset. CoRR abs/2003.07372 (2020) - [i114]Karel Mundnich, Brandon M. Booth, Michelle L'Hommedieu, Tiantian Feng, Benjamin Girault, Justin L'Hommedieu, Mackenzie Wildman, Sophia Skaaden, Amrutha Nadarajan, Jennifer L. Villatte, Tiago H. Falk, Kristina Lerman, Emilio Ferrara, Shrikanth Narayanan:
TILES-2018: A longitudinal physiologic and behavioral data set of hospital workers. CoRR abs/2003.08474 (2020) - [i113]Nazgol Tavabi, Andrés Abeliuk, Negar Mokhberian, Jeremy Abramson, Kristina Lerman:
Challenges in Forecasting Malicious Events from Incomplete Data. CoRR abs/2004.04597 (2020) - [i112]Keith Burghardt, Kristina Lerman:
Systematic Biases in Aggregated COVID-19 Growth Rates. CoRR abs/2004.12994 (2020) - [i111]Goran Muric, Kristina Lerman, Emilio Ferrara:
COVID-19 amplifies gender disparities in research. CoRR abs/2006.06142 (2020) - [i110]Keith Burghardt, Nazgol Tavabi, Emilio Ferrara, Shrikanth Narayanan, Kristina Lerman:
Having a Bad Day? Detecting the Impact of Atypical Life Events Using Wearable Sensors. CoRR abs/2008.01723 (2020) - [i109]Negar Mokhberian, Andrés Abeliuk, Patrick Cummings, Kristina Lerman:
Moral Framing and Ideological Bias of News. CoRR abs/2009.12979 (2020) - [i108]Clara O. Ross, Aditya Gupta, Ninareh Mehrabi, Goran Muric, Kristina Lerman:
The Leaky Pipeline in Physics Publishing. CoRR abs/2010.08912 (2020) - [i107]Keith Burghardt, Tad Hogg, Raissa M. D'Souza, Kristina Lerman, Márton Pósfai:
Origins of Algorithmic Instabilities in Crowdsourced Ranking. CoRR abs/2010.12571 (2020) - [i106]Yuzi He, Keith Burghardt, Siyi Guo, Kristina Lerman:
Inherent Trade-offs in the Fair Allocation of Treatments. CoRR abs/2010.16409 (2020) - [i105]Ashwin Rao, Fred Morstatter, Minda Hu, Emily Chen, Keith Burghardt, Emilio Ferrara, Kristina Lerman:
Political Partisanship and Anti-Science Attitudes in Online Discussions about Covid-19. CoRR abs/2011.08498 (2020)
2010 – 2019
- 2019
- [j34]Peter G. Fennell, Zhiya Zuo, Kristina Lerman:
Predicting and explaining behavioral data with structured feature space decomposition. EPJ Data Sci. 8(1): 23:1-23:27 (2019) - [j33]Goran Muric, Andrés Abeliuk, Kristina Lerman, Emilio Ferrara:
Collaboration Drives Individual Productivity. Proc. ACM Hum. Comput. Interact. 3(CSCW): 74:1-74:24 (2019) - [j32]Adam Badawy, Aseel Addawood, Kristina Lerman, Emilio Ferrara:
Characterizing the 2016 Russian IRA influence campaign. Soc. Netw. Anal. Min. 9(1): 31:1-31:11 (2019) - [c117]James Blythe, Emilio Ferrara, Di Huang, Kristina Lerman, Goran Muric, Anna Sapienza, Alexey Tregubov, Diogo Pacheco, John Bollenbacher, Alessandro Flammini, Pik-Mai Hui, Filippo Menczer:
The DARPA SocialSim Challenge: Massive Multi-Agent Simulations of the Github Ecosystem. AAMAS 2019: 1835-1837 - [c116]Shen Yan, Homa Hosseinmardi, Hsien-Te Kao, Shrikanth S. Narayanan, Kristina Lerman, Emilio Ferrara:
Estimating Individualized Daily Self-Reported Affect with Wearable Sensors. ICHI 2019: 1-9 - [c115]Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor, Nazanin Alipourfard, Kristina Lerman, Hrayr Harutyunyan, Greg Ver Steeg, Aram Galstyan:
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing. ICML 2019: 21-29 - [c114]Aseel Addawood, Adam Badawy, Kristina Lerman, Emilio Ferrara:
Linguistic Cues to Deception: Identifying Political Trolls on Social Media. ICWSM 2019: 15-25 - [c113]Jim Blythe, John Bollenbacher, Di Huang, Pik-Mai Hui, Rachel Krohn, Diogo Pacheco, Goran Muric, Anna Sapienza, Alexey Tregubov, Yong-Yeol Ahn, Alessandro Flammini, Kristina Lerman, Filippo Menczer, Tim Weninger, Emilio Ferrara:
Massive Multi-agent Data-Driven Simulations of the GitHub Ecosystem. PAAMS 2019: 3-15 - [c112]Adam Badawy, Kristina Lerman, Emilio Ferrara:
Who Falls for Online Political Manipulation? WWW (Companion Volume) 2019: 162-168 - [c111]Nazgol Tavabi, Nathan Bartley, Andrés Abeliuk, Sandeep Soni, Emilio Ferrara, Kristina Lerman:
Characterizing Activity on the Deep and Dark Web. WWW (Companion Volume) 2019: 206-213 - [c110]Mohsen Sayyadiharikandeh, Jonathan Gordon, José Luis Ambite, Kristina Lerman:
Finding Prerequisite Relations using the Wikipedia Clickstream. WWW (Companion Volume) 2019: 1240-1247 - [e3]J. Shane Culpepper, Alistair Moffat, Paul N. Bennett, Kristina Lerman:
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019. ACM 2019, ISBN 978-1-4503-5940-5 [contents] - [e2]Sihem Amer-Yahia, Mohammad Mahdian, Ashish Goel, Geert-Jan Houben, Kristina Lerman, Julian J. McAuley, Ricardo Baeza-Yates, Leila Zia:
Companion of The 2019 World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019. ACM 2019, ISBN 978-1-4503-6675-5 [contents] - [i104]Nazgol Tavabi, Nathan Bartley, Andrés Abeliuk, Sandeep Soni, Emilio Ferrara, Kristina Lerman:
Characterizing Activity on the Deep and Dark Web. CoRR abs/1903.00156 (2019) - [i103]Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor, Hrayr Harutyunyan, Nazanin Alipourfard, Kristina Lerman, Greg Ver Steeg, Aram Galstyan:
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing. CoRR abs/1905.00067 (2019) - [i102]Nazanin Alipourfard, Buddhika Nettasinghe, Andrés Abeliuk, Vikram Krishnamurthy, Kristina Lerman:
Friendship Paradox Biases Perceptions in Directed Networks. CoRR abs/1905.05286 (2019) - [i101]Homa Hosseinmardi, Hsien-Te Kao, Kristina Lerman, Emilio Ferrara:
Discovering Hidden Structure in High Dimensional Human Behavioral Data via Tensor Factorization. CoRR abs/1905.08846 (2019) - [i100]Jim Blythe, John Bollenbacher, Di Huang, Pik-Mai Hui, Rachel Krohn, Diogo Pacheco, Goran Muric, Anna Sapienza, Alexey Tregubov, Yong-Yeol Ahn, Alessandro Flammini, Kristina Lerman, Filippo Menczer, Tim Weninger, Emilio Ferrara:
Massive Multi-Agent Data-Driven Simulations of the GitHub Ecosystem. CoRR abs/1908.05437 (2019) - [i99]Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, Aram Galstyan:
A Survey on Bias and Fairness in Machine Learning. CoRR abs/1908.09635 (2019) - [i98]Sandeep Soni, Kristina Lerman, Jacob Eisenstein:
Follow the Leader: Documents on the Leading Edge of Semantic Change Get More Citations. CoRR abs/1909.04189 (2019) - [i97]Keith Burghardt, Tad Hogg, Kristina Lerman:
Quantifying the Impact of Cognitive Biases in Question-Answering Systems. CoRR abs/1909.09633 (2019) - [i96]Yuzi He, Keith Burghardt, Kristina Lerman:
Learning Fair and Interpretable Representations via Linear Orthogonalization. CoRR abs/1910.12854 (2019) - [i95]Nazgol Tavabi, Homa Hosseinmardi, Jennifer L. Villatte, Andrés Abeliuk, Shrikanth S. Narayanan, Emilio Ferrara, Kristina Lerman:
Learning Behavioral Representations from Wearable Sensors. CoRR abs/1911.06959 (2019) - [i94]Goran Muric, Andrés Abeliuk, Kristina Lerman, Emilio Ferrara:
Collaboration Drives Individual Productivity. CoRR abs/1911.11787 (2019) - [i93]John D. Van Horn, Sumiko Abe, José Luis Ambite, Teresa K. Attwood, Niall Beard, Louisa Bellis, Avnish Bhattrai, Alex A. T. Bui, Gully Burns, Lily Fierro, Jonathan Gordon, Jeffrey S. Grethe, Jeana Kamdar, Xiaoyu Lei, Kristina Lerman, Annette McGrath, Nicola J. Mulder, Caroline O'Driscoll, Crystal Stewart, Sonika Tyagi:
Advancing the international data science workforce through shared training and education. F1000Research 8: 251 (2019) - 2018
- [j31]Ashok Deb, Kristina Lerman, Emilio Ferrara:
Predicting Cyber-Events by Leveraging Hacker Sentiment. Inf. 9(11): 280 (2018) - [j30]Kristina Lerman:
Computational social scientist beware: Simpson's paradox in behavioral data. J. Comput. Soc. Sci. 1(1): 49-58 (2018) - [j29]Kristina Lerman, Luciano G. Marin, Megha Arora, Lucas Henrique Costa de Lima, Emilio Ferrara, David García:
Language, demographics, emotions, and the structure of online social networks. J. Comput. Soc. Sci. 1(1): 209-225 (2018) - [j28]Nathan O. Hodas, Jacob S. Hunter, Stephen J. Young, Kristina Lerman:
Model of cognitive dynamics predicts performance on standardized tests. J. Comput. Soc. Sci. 1(2): 295-312 (2018) - [c109]Nazgol Tavabi, Palash Goyal, Mohammed Almukaynizi, Paulo Shakarian, Kristina Lerman:
DarkEmbed: Exploit Prediction With Neural Language Models. AAAI 2018: 7849-7854 - [c108]Adam Badawy, Emilio Ferrara, Kristina Lerman:
Analyzing the Digital Traces of Political Manipulation: The 2016 Russian Interference Twitter Campaign. ASONAM 2018: 258-265 - [c107]Hsien-Te Kao, Homa Hosseinmardi, Shen Yan, Michelle Hasan, Shrikanth S. Narayanan, Kristina Lerman, Emilio Ferrara:
Discovering Latent Psychological Structures from Self-Report Assessments of Hospital Workers. BESC 2018: 156-161 - [c106]Nazanin Alipourfard, Peter G. Fennell, Kristina Lerman:
Using Simpson's Paradox to Discover Interesting Patterns in Behavioral Data. ICWSM 2018: 2-11 - [c105]Keith Burghardt, Tad Hogg, Kristina Lerman:
Quantifying the Impact of Cognitive Biases in Question-Answering Systems. ICWSM 2018: 568-571 - [c104]Elaheh Momeni, Shanika Karunasekera, Palash Goyal, Kristina Lerman:
Modeling Evolution of Topics in Large-Scale Temporal Text Corpora. ICWSM 2018: 656-659 - [c103]John Darrell Van Horn, Lily Fierro, Jeana Kamdar, Jonathan Gordon, Crystal Stewart, Avnish Bhattrai, Sumiko Abe, Xiaoxiao Lei, Caroline O'Driscoll, Aakanchha Sinha, Priyambada Jain, Gully Burns, Kristina Lerman, José Luis Ambite:
Democratizing data science through data science training. PSB 2018: 292-303 - [c102]Nazanin Alipourfard, Peter G. Fennell, Kristina Lerman:
Can you Trust the Trend?: Discovering Simpson's Paradoxes in Social Data. WSDM 2018: 19-27 - [c101]Giovanni Luca Ciampaglia, Kristina Lerman, Panagiotis Metaxas:
Journalism, Misinformation and Fact Checking Chairs' Welcome & Organization. WWW (Companion Volume) 2018: 513-515 - [c100]Anna Sapienza, Sindhu Kiranmai Ernala, Alessandro Bessi, Kristina Lerman, Emilio Ferrara:
DISCOVER: Mining Online Chatter for Emerging Cyber Threats. WWW (Companion Volume) 2018: 983-990 - [c99]Lisette Espin Noboa, Claudia Wagner, Fariba Karimi, Kristina Lerman:
Towards Quantifying Sampling Bias in Network Inference. WWW (Companion Volume) 2018: 1277-1285 - [r4]Kristina Lerman, Craig A. Knoblock:
Wrapper Maintenance. Encyclopedia of Database Systems (2nd ed.) 2018 - [i92]Nazanin Alipourfard, Peter G. Fennell, Kristina Lerman:
Can you Trust the Trend: Discovering Simpson's Paradoxes in Social Data. CoRR abs/1801.04385 (2018) - [i91]Anna Sapienza, Alessandro Bessi, Saranya Damodaran, Paulo Shakarian, Kristina Lerman, Emilio Ferrara:
Early Warnings of Cyber Threats in Online Discussions. CoRR abs/1801.09781 (2018) - [i90]Adam Badawy, Emilio Ferrara, Kristina Lerman:
Analyzing the Digital Traces of Political Manipulation: The 2016 Russian Interference Twitter Campaign. CoRR abs/1802.04291 (2018) - [i89]Florian Quinkert, Thorsten Holz, K. S. M. Tozammel Hossain, Emilio Ferrara, Kristina Lerman:
RAPTOR: Ransomware Attack PredicTOR. CoRR abs/1803.01598 (2018) - [i88]Lisette Espin Noboa, Claudia Wagner, Fariba Karimi, Kristina Lerman:
Towards Quantifying Sampling Bias in Network Inference. CoRR abs/1803.02422 (2018) - [i87]Ashok Deb, Kristina Lerman, Emilio Ferrara:
Predicting Cyber Events by Leveraging Hacker Sentiment. CoRR abs/1804.05276 (2018) - [i86]Nazanin Alipourfard, Peter G. Fennell, Kristina Lerman:
Using Simpson's Paradox to Discover Interesting Patterns in Behavioral Data. CoRR abs/1805.03094 (2018) - [i85]Palash Goyal, K. S. M. Tozammel Hossain, Ashok Deb, Nazgol Tavabi, Nathan Bartley, Andrés Abeliuk, Emilio Ferrara, Kristina Lerman:
Discovering Signals from Web Sources to Predict Cyber Attacks. CoRR abs/1806.03342 (2018) - [i84]Xin-Zeng Wu, Peter G. Fennell, Allon G. Percus, Kristina Lerman:
Degree Correlations Amplify the Growth of Cascades in Networks. CoRR abs/1807.05472 (2018) - [i83]Adam Badawy, Kristina Lerman, Emilio Ferrara:
Who Falls for Online Political Manipulation? CoRR abs/1808.03281 (2018) - [i82]Homa Hosseinmardi, Amir Ghasemian, Shrikanth S. Narayanan, Kristina Lerman, Emilio Ferrara:
Tensor Embedding: A Supervised Framework for Human Behavioral Data Mining and Prediction. CoRR abs/1808.10867 (2018) - [i81]Nathan O. Hodas, Jacob S. Hunter, Stephen J. Young, Kristina Lerman:
Model of Cognitive Dynamics Predicts Performance on Standardized Tests. CoRR abs/1809.02647 (2018) - [i80]Buddhika Nettasinghe, Vikram Krishnamurthy, Kristina Lerman:
Contagions in Social Networks: Effects of Monophilic Contagion, Friendship Paradox and Reactive Networks. CoRR abs/1810.05822 (2018) - [i79]Peter G. Fennell, Zhiya Zuo, Kristina Lerman:
Predicting and Explaining Behavioral Data with Structured Feature Space Decomposition. CoRR abs/1810.09841 (2018) - [i78]Adam Badawy, Aseel Addawood, Kristina Lerman, Emilio Ferrara:
Characterizing the 2016 Russian IRA Influence Campaign. CoRR abs/1812.01997 (2018) - 2017
- [j27]Xiaoran Yan, Brian M. Sadler, Robert J. Drost, Paul L. Yu, Kristina Lerman:
Graph Filters and the Z-Laplacian. IEEE J. Sel. Top. Signal Process. 11(6): 774-784 (2017) - [j26]Daniel Lamprecht, Kristina Lerman, Denis Helic, Markus Strohmaier:
How the structure of Wikipedia articles influences user navigation. New Rev. Hypermedia Multim. 23(1): 29-50 (2017) - [j25]Andreas Hotho, Robert Jäschke, Kristina Lerman:
Mining social semantics on the social web. Semantic Web 8(5): 623-624 (2017) - [j24]Jeon-Hyung Kang, Kristina Lerman:
Effort Mediates Access to Information in Online Social Networks. ACM Trans. Web 11(1): 3:1-3:19 (2017) - [c98]José Luis Ambite, Lily T. Fierro, Florian Geigl, Jonathan Gordon, Gully A. P. C. Burns, Kristina Lerman, Jeana Kamdar, Crystal Stewart, Avnish Bhattrai, Xiaoyu Lei, Sumiko Abe, John D. Van Horn:
The BD2K Training Coordinating Center's Data Science Education Platform. AMIA 2017 - [c97]Kristina Lerman:
A Meme is Not a Virus: The Role of Cognitive Heuristics in Information Diffusion. HT 2017: 1 - [c96]Anna Sapienza, Alessandro Bessi, Saranya Damodaran, Paulo Shakarian, Kristina Lerman, Emilio Ferrara:
Early Warnings of Cyber Threats in Online Discussions. ICDM Workshops 2017: 667-674 - [c95]Tushar Agarwal, Keith Burghardt, Kristina Lerman:
On Quitting: Performance and Practice in Online Game Play. ICWSM 2017: 452-455 - [c94]Emilio Ferrara, Nazanin Alipourfard, Keith Burghardt, Chiranth Gopal, Kristina Lerman:
Dynamics of Content Quality in Collaborative Knowledge Production. ICWSM 2017: 520-523 - [c93]Hao Wu, Kristina Lerman:
Deep Context: A Neural Language Model for Large-scale Networked Documents. IJCAI 2017: 3091-3097 - [c92]Xiaoran Yan, Shang-Hua Teng, Kristina Lerman:
Multi-layer Network Composition Under a Unified Dynamical Process. SBP-BRiMS 2017: 315-321 - [c91]Farshad Kooti, Mihajlo Grbovic, Luca Maria Aiello, Eric Bax, Kristina Lerman:
iPhone's Digital Marketplace: Characterizing the Big Spenders. WSDM 2017: 13-21 - [c90]Farshad Kooti, Karthik Subbian, Winter A. Mason, Lada A. Adamic, Kristina Lerman:
Understanding Short-term Changes in Online Activity Sessions. WWW (Companion Volume) 2017: 555-563 - [c89]Farshad Kooti, Mihajlo Grbovic, Luca Maria Aiello, Nemanja Djuric, Vladan Radosavljevic, Kristina Lerman:
Analyzing Uber's Ride-sharing Economy. WWW (Companion Volume) 2017: 574-582 - [c88]Andrés Abeliuk, Gerardo Berbeglia, Pascal Van Hentenryck, Tad Hogg, Kristina Lerman:
Taming the Unpredictability of Cultural Markets with Social Influence. WWW 2017: 745-754 - [c87]José Luis Ambite, Lily Fierro, Florian Geigl, Jonathan Gordon, Gully A. P. C. Burns, Kristina Lerman, John D. Van Horn:
BD2K ERuDIte: the Educational Resource Discovery Index for Data Science. WWW (Companion Volume) 2017: 1203-1211 - [i77]Farshad Kooti, Mihajlo Grbovic, Luca Maria Aiello, Eric Bax, Kristina Lerman:
iPhone's Digital Marketplace: Characterizing the Big Spenders. CoRR abs/1701.07411 (2017) - [i76]Tushar Agarwal, Keith A. Burghardt, Kristina Lerman:
On Quitting: Performance and Practice in Online Game Play. CoRR abs/1703.04696 (2017) - [i75]Lyndsey Franklin, Kristina Lerman, Nathan Oken Hodas:
Will Break for Productivity: Generalized Symptoms of Cognitive Depletion. CoRR abs/1706.01521 (2017) - [i74]Emilio Ferrara, Nazanin Alipourfard, Keith Burghardt, Chiranth Gopal, Kristina Lerman:
Dynamics of Content Quality in Collaborative Knowledge Production. CoRR abs/1706.03179 (2017) - [i73]Xiaoran Yan, Brian M. Sadler, Robert J. Drost, Paul L. Yu, Kristina Lerman:
Graph Filters and the Z-Laplacian. CoRR abs/1707.05851 (2017) - [i72]Hao Wu, Kristina Lerman:
Network Vector: Distributed Representations of Networks with Global Context. CoRR abs/1709.02448 (2017) - [i71]Kristina Lerman, Nathan O. Hodas, Hao Wu:
Bounded Rationality in Scholarly Knowledge Discovery. CoRR abs/1710.00269 (2017) - [i70]Kristina Lerman:
Computational Social Scientist Beware: Simpson's Paradox in Behavioral Data. CoRR abs/1710.08615 (2017) - 2016
- [j23]V. S. Subrahmanian, Amos Azaria, Skylar Durst, Vadim Kagan, Aram Galstyan, Kristina Lerman, Linhong Zhu, Emilio Ferrara, Alessandro Flammini, Filippo Menczer:
The DARPA Twitter Bot Challenge. Computer 49(6): 38-46 (2016) - [j22]Kristina Lerman:
Information Is Not a Virus, and Other Consequences of Human Cognitive Limits. Future Internet 8(2): 21 (2016) - [j21]Xiaoran Yan, Shang-Hua Teng, Kristina Lerman, Rumi Ghosh:
Capturing the interplay of dynamics and networks through parameterizations of Laplacian operators. PeerJ Comput. Sci. 2: e57 (2016) - [j20]Laura M. Smith, Linhong Zhu, Kristina Lerman, Allon G. Percus:
Partitioning Networks with Node Attributes by Compressing Information Flow. ACM Trans. Knowl. Discov. Data 11(2): 15:1-15:26 (2016) - [c86]Tad Hogg, Kristina Lerman:
Leveraging the Contributions of the Casual Majority to Identify Appealing Web Content. HCOMP 2016: 69-78 - [c85]Florian Geigl, Kristina Lerman, Simon Walk, Markus Strohmaier, Denis Helic:
Assessing the Navigational Effects of Click Biases and Link Insertion on the Web. HT 2016: 37-47 - [c84]Kristina Lerman, Megha Arora, Luciano Gallegos, Ponnurangam Kumaraguru, David García:
Emotions, Demographics and Sociability in Twitter Interactions. ICWSM 2016: 201-210 - [c83]Farshad Kooti, Esteban Moro, Kristina Lerman:
Twitter Session Analytics: Profiling Users' Short-Term Behavioral Changes. SocInfo (2) 2016: 71-86 - [c82]Farshad Kooti, Kristina Lerman, Luca Maria Aiello, Mihajlo Grbovic, Nemanja Djuric, Vladan Radosavljevic:
Portrait of an Online Shopper: Understanding and Predicting Consumer Behavior. WSDM 2016: 205-214 - [c81]Luciano Gallegos, Kristina Lerman, Arthur Huang, David García:
Geography of Emotion: Where in a City are People Happier? WWW (Companion Volume) 2016: 569-574 - [i69]V. S. Subrahmanian, Amos Azaria, Skylar Durst, Vadim Kagan, Aram Galstyan, Kristina Lerman, Linhong Zhu, Emilio Ferrara, Alessandro Flammini, Filippo Menczer, Rand Waltzman, Andrew Stevens, Alexander Dekhtyar, Shuyang Gao, Tad Hogg, Farshad Kooti, Yan Liu, Onur Varol, Prashant Shiralkar, V. G. Vinod Vydiswaran, Qiaozhu Mei, Tim Huang:
The DARPA Twitter Bot Challenge. CoRR abs/1601.05140 (2016) - [i68]Linhong Zhu, Kristina Lerman:
Attention Inequality in Social Media. CoRR abs/1601.07200 (2016) - [i67]Keith Burghardt, Emanuel F. Alsina, Michelle Girvan, William Rand, Kristina Lerman:
The Myopia of Crowds: A Study of Collective Evaluation on Stack Exchange. CoRR abs/1602.07388 (2016) - [i66]Florian Geigl, Kristina Lerman, Simon Walk, Markus Strohmaier, Denis Helic:
Assessing the Navigational Effects of Click Biases and Link Insertion on the Web. CoRR abs/1603.06200 (2016) - [i65]Philipp Singer, Emilio Ferrara, Farshad Kooti, Markus Strohmaier, Kristina Lerman:
Evidence of Online Performance Deterioration in User Sessions on Reddit. CoRR abs/1604.06899 (2016) - [i64]Kristina Lerman:
Information is not a Virus, and Other Consequences of Human Cognitive Limits. CoRR abs/1605.02660 (2016) - [i63]Kristina Lerman, Shang-Hua Teng, Xiaoran Yan:
Network Composition from Multi-layer Data. CoRR abs/1609.01641 (2016) - [i62]Xin-Zeng Wu, Allon G. Percus, Kristina Lerman:
Neighbor-Neighbor Correlations Explain Measurement Bias in Networks. CoRR abs/1612.08200 (2016) - 2015
- [j19]Tad Hogg, Kristina Lerman:
Disentangling the Effects of Social Signals. Hum. Comput. 2(2): 189-208 (2015) - [c80]Jeon-Hyung Kang, Kristina Lerman:
User Effort and Network Structure Mediate Access to Information in Networks. ICWSM 2015: 198-207 - [c79]Madelaine Daianu, Greg Ver Steeg, Adam Mezher, Neda Jahanshad, Talia M. Nir, Xiaoran Yan, Gautam Prasad, Kristina Lerman, Aram Galstyan, Paul M. Thompson:
Information-Theoretic Clustering of Neuroimaging Metrics Related to Cognitive Decline in the Elderly. MCV@MICCAI 2015: 13-23 - [c78]Sidharth Gupta, Xiaoran Yan, Kristina Lerman:
Structural Properties of Ego Networks. SBP 2015: 55-64 - [c77]Jeon-Hyung Kang, Kristina Lerman:
VIP: Incorporating Human Cognitive Biases in a Probabilistic Model of Retweeting. SBP 2015: 101-110 - [c76]Farshad Kooti, Luca Maria Aiello, Mihajlo Grbovic, Kristina Lerman, Amin Mantrach:
Evolution of Conversations in the Age of Email Overload. WWW 2015: 603-613 - [i61]Jeon-Hyung Kang, Kristina Lerman:
VIP: Incorporating Human Cognitive Biases in a Probabilistic Model of Retweeting. CoRR abs/1502.00582 (2015) - [i60]Farshad Kooti, Luca Maria Aiello, Mihajlo Grbovic, Kristina Lerman, Amin Mantrach:
Evolution of Conversations in the Age of Email Overload. CoRR abs/1504.00704 (2015) - [i59]Jeon-Hyung Kang, Kristina Lerman:
User Effort and Network Structure Mediate Access to Information in Networks. CoRR abs/1504.01760 (2015) - [i58]Kristina Lerman, Xiaoran Yan, Xin-Zeng Wu:
The Majority Illusion in Social Networks. CoRR abs/1506.03022 (2015) - [i57]Luciano Gallegos, Kristina Lerman, Arthur Huang, David García:
Geography of Emotion: Where in a City are People Happier? CoRR abs/1507.07632 (2015) - [i56]Kristina Lerman, Megha Arora, Luciano Gallegos, Ponnurangam Kumaraguru, David García:
Social Ties and Emotions: Evidence from Social Media. CoRR abs/1510.07090 (2015) - [i55]Farshad Kooti, Kristina Lerman, Luca Maria Aiello, Mihajlo Grbovic, Nemanja Djuric, Vladan Radosavljevic:
Portrait of an Online Shopper: Understanding and Predicting Consumer Behavior. CoRR abs/1512.04912 (2015) - 2014
- [c75]Suradej Intagorn, Kristina Lerman:
Placing user-generated content on the map with confidence. SIGSPATIAL/GIS 2014: 413-416 - [c74]Farshad Kooti, Nathan Oken Hodas, Kristina Lerman:
Network Weirdness: Exploring the Origins of Network Paradoxes. ICWSM 2014 - [c73]Rumi Ghosh, Shang-Hua Teng, Kristina Lerman, Xiaoran Yan:
The interplay between dynamics and networks: centrality, communities, and cheeger inequality. KDD 2014: 1406-1415 - [c72]Linhong Zhu, Aram Galstyan, James Cheng, Kristina Lerman:
Tripartite graph clustering for dynamic sentiment analysis on social media. SIGMOD Conference 2014: 1531-1542 - [e1]Su Yang, Kristina Lerman, James She, Martin Atzmueller:
Proceedings of the 2014 International Conference on Social Computing, Beijing, China, August 04 - 07, 2014. ACM 2014, ISBN 978-1-4503-2888-3 [contents] - [i54]Linhong Zhu, Aram Galstyan, James Cheng, Kristina Lerman:
Tripartite Graph Clustering for Dynamic Sentiment Analysis on Social Media. CoRR abs/1402.6010 (2014) - [i53]Farshad Kooti, Nathan Oken Hodas, Kristina Lerman:
Network Weirdness: Exploring the Origins of Network Paradoxes. CoRR abs/1403.7242 (2014) - [i52]Laura M. Smith, Linhong Zhu, Kristina Lerman, Allon G. Percus:
Partitioning Networks with Node Attributes by Compressing Information Flow. CoRR abs/1405.4332 (2014) - [i51]Rumi Ghosh, Kristina Lerman, Shang-Hua Teng, Xiaoran Yan:
The Interplay Between Dynamics and Networks: Centrality, Communities, and Cheeger Inequality. CoRR abs/1406.3387 (2014) - [i50]Rumi Ghosh, Kristina Lerman:
The Impact of Network Flows on Community Formation in Models of Opinion Dynamics. CoRR abs/1407.2587 (2014) - [i49]Tad Hogg, Kristina Lerman:
Effects of Social Influence in Peer Online Recommendation. CoRR abs/1410.6744 (2014) - [i48]Sidharth Gupta, Xiaoran Yan, Kristina Lerman:
Structural Properties of Ego Networks. CoRR abs/1411.6061 (2014) - 2013
- [c71]Jeon-Hyung Kang, Kristina Lerman:
LA-CTR: A Limited Attention Collaborative Topic Regression for Social Media. AAAI 2013: 1128-1134 - [c70]Jeon-Hyung Kang, Kristina Lerman:
Scalable mining of social data using stochastic gradient fisher scoring. DUBMOD@CIKM 2013: 21-24 - [c69]Kristina Lerman, Tad Hogg:
Using Visibility to Control Collective Attention in Crowdsourcing. HCOMP (Works in Progress / Demos) 2013 - [c68]Jeon-Hyung Kang, Kristina Lerman:
Structural and cognitive bottlenecks to information access in social networks. HT 2013: 51-59 - [c67]Yi-Hung Huang, Chun-Nan Hsu, Kristina Lerman:
Identifying Transformative Scientific Research. ICDM 2013: 291-300 - [c66]Nathan Oken Hodas, Kristina Lerman:
Attention and visibility in an information-rich world. ICME Workshops 2013: 1-6 - [c65]Nathan Oken Hodas, Farshad Kooti, Kristina Lerman:
Friendship Paradox Redux: Your Friends Are More Interesting Than You. ICWSM 2013 - [c64]Kanika Narang, Kristina Lerman, Ponnurangam Kumaraguru:
Network flows and the link prediction problem. SNAKDD 2013: 3:1-3:8 - [c63]Jeon-Hyung Kang, Kristina Lerman, Lise Getoor:
LA-LDA: A Limited Attention Topic Model for Social Recommendation. SBP 2013: 211-220 - [c62]Tad Hogg, Kristina Lerman, Laura M. Smith:
Using Stochastic Models to Predict User Response in Social Media. SocialCom 2013: 63-68 - [c61]Laura M. Smith, Linhong Zhu, Kristina Lerman, Zornitsa Kozareva:
The Role of Social Media in the Discussion of Controversial Topics. SocialCom 2013: 236-243 - [c60]Kristina Lerman, Prachi Jain, Rumi Ghosh, Jeon-Hyung Kang, Ponnurangam Kumaraguru:
Limited Attention and Centrality in Social Networks. SOCIETY 2013: 80-89 - [r3]Kristina Lerman:
Analysis: An Introduction. Handbook of Human Computation 2013: 745-749 - [r2]Kristina Lerman:
Social Informatics: Using Big Data to Understand Social Behavior. Handbook of Human Computation 2013: 751-759 - [i47]Jeon-Hyung Kang, Kristina Lerman, Lise Getoor:
LA-LDA: A Limited Attention Topic Model for Social Recommendation. CoRR abs/1301.6277 (2013) - [i46]Jeon-Hyung Kang, Kristina Lerman:
Structural and Cognitive Bottlenecks to Information Access in Social Networks. CoRR abs/1303.0861 (2013) - [i45]Laura M. Smith, Kristina Lerman, Cristina Garcia-Cardona, Allon G. Percus, Rumi Ghosh:
Spectral Clustering with Epidemic Diffusion. CoRR abs/1303.2663 (2013) - [i44]Kristina Lerman, Prachi Jain, Rumi Ghosh, Jeon-Hyung Kang, Ponnurangam Kumaraguru:
Limited Attention and Centrality in Social Networks. CoRR abs/1303.4451 (2013) - [i43]Nathan Oken Hodas, Farshad Kooti, Kristina Lerman:
Friendship Paradox Redux: Your Friends Are More Interesting Than You. CoRR abs/1304.3480 (2013) - [i42]Nathan Oken Hodas, Kristina Lerman:
Attention and Visibility in an Information Rich World. CoRR abs/1307.4798 (2013) - [i41]Tad Hogg, Kristina Lerman, Laura M. Smith:
Stochastic Models Predict User Behavior in Social Media. CoRR abs/1308.2705 (2013) - [i40]Nathan Oken Hodas, Kristina Lerman:
The Simple Rules of Social Contagion. CoRR abs/1308.5015 (2013) - [i39]Jeon-Hyung Kang, Kristina Lerman:
LA-CTR: A Limited Attention Collaborative Topic Regression for Social Media. CoRR abs/1311.1247 (2013) - 2012
- [j18]Tad Hogg, Kristina Lerman:
Social dynamics of Digg. EPJ Data Sci. 1(1): 5 (2012) - [j17]Suradej Intagorn, Kristina Lerman:
A probabilistic approach to mining geospatial knowledge from social annotations. ACM SIGSPATIAL Special 4(3): 2-7 (2012) - [j16]Kristina Lerman, Tad Hogg:
Using Stochastic Models to Describe and Predict Social Dynamics of Web Users. ACM Trans. Intell. Syst. Technol. 3(4): 62:1-62:33 (2012) - [c59]Suradej Intagorn, Kristina Lerman:
A probabilistic approach to mining geospatial knowledge from social annotations. CIKM 2012: 1717-1721 - [c58]Craig A. Knoblock, Pedro A. Szekely, José Luis Ambite, Aman Goel, Shubham Gupta, Kristina Lerman, Maria Muslea, Mohsen Taheriyan, Parag Mallick:
Semi-automatically Mapping Structured Sources into the Semantic Web. ESWC 2012: 375-390 - [c57]Andrés García-Silva, Jeon-Hyung Kang, Kristina Lerman, Óscar Corcho:
Characterising Emergent Semantics in Twitter Lists. ESWC 2012: 530-544 - [c56]Nathan Oken Hodas, Kristina Lerman:
How Visibility and Divided Attention Constrain Social Contagion. SocialCom/PASSAT 2012: 249-257 - [c55]Kristina Lerman, Suradej Intagorn, Jeon-Hyung Kang, Rumi Ghosh:
Using proximity to predict activity in social networks. WWW (Companion Volume) 2012: 555-556 - [i38]Rumi Ghosh, Kristina Lerman:
The Role of Dynamic Interactions in Multi-scale Analysis of Network Structure. CoRR abs/1201.2383 (2012) - [i37]Tad Hogg, Kristina Lerman:
Social Dynamics of Digg. CoRR abs/1202.0031 (2012) - [i36]Kristina Lerman, Rumi Ghosh, Tawan Surachawala:
Social Contagion: An Empirical Study of Information Spread on Digg and Twitter Follower Graphs. CoRR abs/1202.3162 (2012) - [i35]Kristina Lerman, Rumi Ghosh:
Network Structure, Topology and Dynamics in Generalized Models of Synchronization. CoRR abs/1203.1338 (2012) - [i34]Nathan Oken Hodas, Kristina Lerman:
How Visibility and Divided Attention Constrain Social Contagion. CoRR abs/1205.2736 (2012) - [i33]Rumi Ghosh, Kristina Lerman:
Rethinking Centrality: The Role of Dynamical Processes in Social Network Analysis. CoRR abs/1209.4616 (2012) - 2011
- [j15]Suradej Intagorn, Kristina Lerman:
Mining Geospatial Knowledge on the Social Web. Int. J. Inf. Syst. Crisis Response Manag. 3(2): 33-47 (2011) - [c54]Aman Goel, Craig A. Knoblock, Kristina Lerman:
Using Conditional Random Fields to Exploit Token Structure and Labels for Accurate Semantic Annotation. AAAI 2011: 1784-1785 - [c53]Suradej Intagorn, Kristina Lerman:
Learning boundaries of vague places from noisy annotations. GIS 2011: 425-428 - [c52]Rumi Ghosh, Tsung-Ting Kuo, Chun-Nan Hsu, Shou-De Lin, Kristina Lerman:
Time-Aware Ranking in Dynamic Citation Networks. ICDM Workshops 2011: 373-380 - [c51]Kristina Lerman, Aram Galstyan, Greg Ver Steeg, Tad Hogg:
Social Mechanics: An Empirically Grounded Science of Social Media. The Future of the Social Web 2011 - [c50]Greg Ver Steeg, Rumi Ghosh, Kristina Lerman:
What Stops Social Epidemics? ICWSM 2011 - [c49]Craig A. Knoblock, Pedro A. Szekely, José Luis Ambite, Shubham Gupta, Aman Goel, Maria Muslea, Kristina Lerman, Parag Mallick:
Interactively Mapping Data Sources into the Semantic Web. LISC 2011 - [c48]Jeon-Hyung Kang, Kristina Lerman:
Leveraging User Diversity to Harvest Knowledge on the Social Web. SocialCom/PASSAT 2011: 215-222 - [c47]Anon Plangprasopchok, Kristina Lerman, Lise Getoor:
A probabilistic approach for learning folksonomies from structured data. WSDM 2011: 555-564 - [c46]Rumi Ghosh, Kristina Lerman:
A framework for quantitative analysis of cascades on networks. WSDM 2011: 665-674 - [c45]Denis Helic, Markus Strohmaier, Christoph Trattner, Markus Muhr, Kristina Lerman:
Pragmatic evaluation of folksonomies. WWW 2011: 417-426 - [i32]Greg Ver Steeg, Rumi Ghosh, Kristina Lerman:
What stops social epidemics? CoRR abs/1102.1985 (2011) - [i31]Rumi Ghosh, Kristina Lerman, Tawan Surachawala, Konstantin Voevodski, Shang-Hua Teng:
Non-Conservative Diffusion and its Application to Social Network Analysis. CoRR abs/1102.4639 (2011) - [i30]Rumi Ghosh, Tawan Surachawala, Kristina Lerman:
Entropy-based Classification of 'Retweeting' Activity on Twitter. CoRR abs/1106.0346 (2011) - [i29]Craig A. Knoblock, Kristina Lerman, Steven Minton:
Wrapper Maintenance: A Machine Learning Approach. CoRR abs/1106.4872 (2011) - [i28]Jeon-Hyung Kang, Kristina Lerman:
Leveraging User Diversity to Harvest Knowledge on the Social Web. CoRR abs/1110.4851 (2011) - [i27]Kristina Lerman, Suradej Intagorn, Jeon-Hyung Kang, Rumi Ghosh:
Using Proximity to Predict Activity in Social Networks. CoRR abs/1112.2755 (2011) - 2010
- [j14]Anon Plangprasopchok, Kristina Lerman:
Modeling Social Annotation: A Bayesian Approach. ACM Trans. Knowl. Discov. Data 5(1): 4:1-4:32 (2010) - [c44]Anon Plangprasopchok, Kristina Lerman, Lise Getoor:
Constructing Folksonomies by Integrating Structured Metadata with Relational Clustering. Collaboratively-Built Knowledge Sources and AI 2010 - [c43]Anon Plangprasopchok, Kristina Lerman, Lise Getoor:
Integrating Structured Metadata with Relational Affinity Propagation. StarAI@AAAI 2010 - [c42]Tad Hogg, Kristina Lerman:
Social Dynamics of Digg. ICWSM 2010 - [c41]Kristina Lerman, Rumi Ghosh:
Information Contagion: An Empirical Study of the Spread of News on Digg and Twitter Social Networks. ICWSM 2010 - [c40]Suradej Intagorn, Anon Plangprasopchok, Kristina Lerman:
Harvesting geospatial knowledge from social metadata. ISCRAM 2010 - [c39]Jeon-Hyung Kang, Kristina Lerman, Anon Plangprasopchok:
Analyzing microblogs with affinity propagation. SOMA@KDD 2010: 67-70 - [c38]Anon Plangprasopchok, Kristina Lerman, Lise Getoor:
Growing a tree in the forest: constructing folksonomies by integrating structured metadata. KDD 2010: 949-958 - [c37]Kristina Lerman, Rumi Ghosh, Jeon-Hyung Kang:
Centrality metric for dynamic networks. MLG@KDD 2010: 70-77 - [c36]Kristina Lerman, Tad Hogg:
Using a model of social dynamics to predict popularity of news. WWW 2010: 621-630 - [c35]Anon Plangprasopchok, Kristina Lerman, Lise Getoor:
Constructing folksonomies by integrating structured metadata. WWW 2010: 1165-1166 - [i26]Kristina Lerman, Rumi Ghosh:
Information Contagion: an Empirical Study of the Spread of News on Digg and Twitter Social Networks. CoRR abs/1003.2664 (2010) - [i25]Kristina Lerman, Tad Hogg:
Using a Model of Social Dynamics to Predict Popularity of News. CoRR abs/1004.5354 (2010) - [i24]Rumi Ghosh, Kristina Lerman:
Predicting Influential Users in Online Social Networks. CoRR abs/1005.4882 (2010) - [i23]Anon Plangprasopchok, Kristina Lerman, Lise Getoor:
Integrating Structured Metadata with Relational Affinity Propagation. CoRR abs/1005.4963 (2010) - [i22]Anon Plangprasopchok, Kristina Lerman, Lise Getoor:
Growing a Tree in the Forest: Constructing Folksonomies by Integrating Structured Metadata. CoRR abs/1005.5114 (2010) - [i21]Kristina Lerman, Rumi Ghosh, Jeon-Hyung Kang:
Centrality Metric for Dynamic Networks. CoRR abs/1006.0526 (2010) - [i20]Kristina Lerman, Tad Hogg:
Using Stochastic Models to Describe and Predict Social Dynamics of Web Users. CoRR abs/1010.0237 (2010) - [i19]Rumi Ghosh, Kristina Lerman:
A Parameterized Centrality Metric for Network Analysis. CoRR abs/1010.4247 (2010) - [i18]Anon Plangprasopchok, Kristina Lerman, Lise Getoor:
A Probabilistic Approach for Learning Folksonomies from Structured Data. CoRR abs/1011.3557 (2010) - [i17]Rumi Ghosh, Kristina Lerman:
A Framework for Quantitative Analysis of Cascades on Networks. CoRR abs/1011.3571 (2010)
2000 – 2009
- 2009
- [c34]Kristina Lerman, Tad Hogg:
Stochastic Models of Large-Scale Human Behavior on the Web. AAAI Spring Symposium: Human Behavior Modeling 2009: 37-42 - [c33]Rumi Ghosh, Kristina Lerman:
Structure of Heterogeneous Networks. CSE (4) 2009: 98-105 - [c32]Rumi Ghosh, Kristina Lerman:
Leaders and Negotiators: An Influence-based Metric for Rank. ICWSM 2009 - [c31]Tad Hogg, Kristina Lerman:
Stochastic Models of User-Contributory Web Sites. ICWSM 2009 - [c30]José Luis Ambite, Sirish Darbha, Aman Goel, Craig A. Knoblock, Kristina Lerman, Rahul Parundekar, Thomas A. Russ:
Automatically Constructing Semantic Web Services from Online Sources. ISWC 2009: 17-32 - [c29]Anon Plangprasopchok, Kristina Lerman:
Constructing folksonomies from user-specified relations on flickr. WWW 2009: 781-790 - [r1]Kristina Lerman, Craig A. Knoblock:
Wrapper Maintenance. Encyclopedia of Database Systems 2009: 3565-3569 - [i16]Tad Hogg, Kristina Lerman:
Stochastic Models of User-Contributory Web Sites. CoRR abs/0904.0016 (2009) - [i15]Rumi Ghosh, Kristina Lerman:
Structure of Heterogeneous Networks. CoRR abs/0906.2212 (2009) - 2008
- [j13]Marcello Balduccini, Chitta Baral, Boyan Brodaric, Simon Colton, Peter Fox, David Gutelius, Knut Hinkelmann, Ian Horswill, Bernardo A. Huberman, Eva Hudlicka, Kristina Lerman, Christine L. Lisetti, Deborah L. McGuinness, Mary Lou Maher, Mark A. Musen, Mehran Sahami, Derek H. Sleeman, Barbara Thönssen, Juan D. Velásquez, Dan Ventura:
AAAI 2008 Spring Symposia Reports. AI Mag. 29(3): 107-115 (2008) - [j12]Valentino Crespi, Aram Galstyan, Kristina Lerman:
Top-down vs bottom-up methodologies in multi-agent system design. Auton. Robots 24(3): 303-313 (2008) - [j11]Jim Blythe, Dipsy Kapoor, Craig A. Knoblock, Kristina Lerman, Steven Minton:
Information Integration for the Masses. J. Univers. Comput. Sci. 14(11): 1811-1837 (2008) - [c28]Kristina Lerman, David Gutelius, Bernardo A. Huberman, Srujana Merugu:
Organizing Committee. AAAI Spring Symposium: Social Information Processing 2008: 1- - [c27]Anon Plangprasopchok, Kristina Lerman:
On Constructing Shallow Taxonomies from Social Annotations. AAAI Spring Symposium: Social Information Processing 2008: 78-80 - [c26]José Luis Ambite, Craig A. Knoblock, Kristina Lerman, Anon Plangprasopchok, Thomas A. Russ, Cenk Gazen, Steven Minton, Mark James Carman:
Exploiting Data Semantics to Discover, Extract, and Model Web Sources. ICDM Workshops 2008: 771-779 - [c25]Yiinju L. Nelson, Bhupesh Bansal, Mary W. Hall, Aiichiro Nakano, Kristina Lerman:
Model-guided performance tuning of parameter values: A case study with molecular dynamics visualization. IPDPS 2008: 1-8 - [c24]Rumi Ghosh, Kristina Lerman:
Community Detection Using a Measure of Global Influence. SNAKDD 2008: 20-35 - [c23]Kristina Lerman, Aram Galstyan:
Analysis of social voting patterns on digg. WOSN 2008: 7-12 - [i14]Anon Plangprasopchok, Kristina Lerman:
Constructing Folksonomies from User-specified Relations on Flickr. CoRR abs/0805.3747 (2008) - [i13]Rumi Ghosh, Kristina Lerman:
Community Detection using a Measure of Global Influence. CoRR abs/0805.4606 (2008) - [i12]Kristina Lerman, Aram Galstyan:
Analysis of Social Voting Patterns on Digg. CoRR abs/0806.1918 (2008) - [i11]Anon Plangprasopchok, Kristina Lerman:
Modeling Social Annotation: a Bayesian Approach. CoRR abs/0811.1319 (2008) - 2007
- [j10]Kristina Lerman, Anon Plangprasopchok, Craig A. Knoblock:
Semantic Labeling of Online Information Sources. Int. J. Semantic Web Inf. Syst. 3(3): 36-56 (2007) - [j9]Kristina Lerman:
Social Information Processing in News Aggregation. IEEE Internet Comput. 11(6): 16-28 (2007) - [c22]Kristina Lerman:
User Participation in Social Media: Digg Study. Web Intelligence/IAT Workshops 2007: 255-258 - [c21]Kristina Lerman:
Social Networks and Social Information Filtering on Digg. ICWSM 2007 - [c20]Kristina Lerman, Laurie Jones:
Social Browsing on Flickr. ICWSM 2007 - [c19]Bhupesh Bansal, Ümit V. Çatalyürek, Jacqueline Chame, Chun Chen, Ewa Deelman, Yolanda Gil, Mary W. Hall, Vijay S. Kumar, Tahsin M. Kurç, Kristina Lerman, Aiichiro Nakano, Yoon-Ju Lee Nelson, Joel H. Saltz, Ashish Sharma, Priya Vashishta:
Intelligent Optimization of Parallel and Distributed Applications. IPDPS 2007: 1-6 - [c18]Kristina Lerman:
Dynamics of a Collaborative Rating System. WebKDD/SNA-KDD 2007: 77-96 - [i10]Anon Plangprasopchok, Kristina Lerman:
Exploiting Social Annotation for Automatic Resource Discovery. CoRR abs/0704.1675 (2007) - [i9]Kristina Lerman, Anon Plangprasopchok, Chio Wong:
Personalizing Image Search Results on Flickr. CoRR abs/0704.1676 (2007) - [i8]Kristina Lerman:
User Participation in Social Media: Digg Study. CoRR abs/0708.2414 (2007) - [i7]Kristina Lerman:
Social Browsing & Information Filtering in Social Media. CoRR abs/0710.5697 (2007) - [i6]Kristina Lerman:
Social Information Processing in Social News Aggregation. CoRR abs/cs/0703087 (2007) - 2006
- [j8]Kristina Lerman, Chris V. Jones, Aram Galstyan, Maja J. Mataric:
Analysis of Dynamic Task Allocation in Multi-Robot Systems. Int. J. Robotics Res. 25(3): 225-241 (2006) - [c17]Kristina Lerman, Anon Plangprasopchok, Craig A. Knoblock:
Automatically Labeling the Inputs and Outputs of Web Services. AAAI 2006: 1363-1368 - [i5]Aram Galstyan, Tad Hogg, Kristina Lerman:
Modeling and Mathematical Analysis of Swarms of Microscopic Robots. CoRR abs/cs/0604110 (2006) - [i4]Kristina Lerman, Chris V. Jones, Aram Galstyan, Maja J. Mataric:
Analysis of Dynamic Task Allocation in Multi-Robot Systems. CoRR abs/cs/0604111 (2006) - [i3]Kristina Lerman:
Social Networks and Social Information Filtering on Digg. CoRR abs/cs/0612046 (2006) - [i2]Kristina Lerman, Laurie Jones:
Social Browsing on Flickr. CoRR abs/cs/0612047 (2006) - 2005
- [j7]Aram Galstyan, Karl Czajkowski, Kristina Lerman:
Resource Allocation in the Grid with Learning Agents. J. Grid Comput. 3(1-2): 91-100 (2005) - [c16]Valentino Crespi, Aram Galstyan, Kristina Lerman:
Comparative analysis of top-down and bottom-up methodologies for multi-agent system design. AAMAS 2005: 1159-1160 - [c15]Chun Chen, Jacqueline Chame, Mary W. Hall, Kristina Lerman:
A Systematic Approach to Model-Guided Empirical Search for Memory Hierarchy Optimization. LCPC 2005: 433-440 - [c14]Aram Galstyan, Tad Hogg, Kristina Lerman:
Modeling and mathematical analysis of swarms of microscopic robots. SIS 2005: 201-208 - 2004
- [j6]Kristina Lerman:
A Model of Adaptation in Collaborative Multi-Agent Systems. Adapt. Behav. 12(3-4): 187-197 (2004) - [c13]Aram Galstyan, Kristina Lerman:
Analysis of a Stochastic Model of Adaptive Task Allocation in Robots. Engineering Self-Organising Systems 2004: 167-179 - [c12]Aram Galstyan, Karl Czajkowski, Kristina Lerman:
Resource Allocation in the Grid Using Reinforcement Learning. AAMAS 2004: 1314-1315 - [c11]Aram Galstyan, Bhaskar Krishnamachari, Kristina Lerman, Sundeep Pattem:
Distributed online localization in sensor networks using a moving target. IPSN 2004: 61-70 - [c10]Kristina Lerman, Alcherio Martinoli, Aram Galstyan:
A Review of Probabilistic Macroscopic Models for Swarm Robotic Systems. Swarm Robotics 2004: 143-152 - [c9]Kristina Lerman, Lise Getoor, Steven Minton, Craig A. Knoblock:
Using the Structure of Web Sites for Automatic Segmentation of Tables. SIGMOD Conference 2004: 119-130 - [i1]Kristina Lerman, Aram Galstyan, Tad Hogg:
Mathematical Analysis of Multi-Agent Systems. CoRR cs.RO/0404002 (2004) - 2003
- [j5]Kristina Lerman, Steven Minton, Craig A. Knoblock:
Wrapper Maintenance: A Machine Learning Approach. J. Artif. Intell. Res. 18: 149-181 (2003) - [c8]Aram Galstyan, Shashikiran Kolar, Kristina Lerman:
Resource allocation games with changing resource capacities. AAMAS 2003: 145-152 - [c7]Kristina Lerman, Aram Galstyan:
Agent memory and adaptation in multi-agent systems. AAMAS 2003: 797-803 - [c6]Alejandro Bugacov, Aram Galstyan, Kristina Lerman:
Threshold Behavior in a Boolean Network Model for SAT. IC-AI 2003: 87-92 - [c5]Kristina Lerman, Aram Galstyan:
Macroscopic analysis of adaptive task allocation in robots. IROS 2003: 1951-1956 - [p1]Craig A. Knoblock, Kristina Lerman, Steven Minton, Ion Muslea:
Accurately and Reliably Extracting Data from the Web: A Machine Learning Approach. Intelligent Exploration of the Web 2003: 275-287 - 2002
- [j4]Hans Chalupsky, Yolanda Gil, Craig A. Knoblock, Kristina Lerman, Jean Oh, David V. Pynadath, Thomas A. Russ, Milind Tambe:
Electric Elves: Agent Technology for Supporting Human Organizations. AI Mag. 23(2): 11-24 (2002) - [j3]Kristina Lerman, Aram Galstyan:
Mathematical Model of Foraging in a Group of Robots: Effect of Interference. Auton. Robots 13(2): 127-141 (2002) - 2001
- [j2]Kristina Lerman, Aram Galstyan, Alcherio Martinoli, Auke Jan Ijspeert:
A Macroscopic Analytical Model of Collaboration in Distributed Robotic Systems. Artif. Life 7(4): 375-393 (2001) - [c4]Hans Chalupsky, Yolanda Gil, Craig A. Knoblock, Kristina Lerman, Jean Oh, David V. Pynadath, Thomas A. Russ, Milind Tambe:
Electric Elves: Applying Agent Technology to Support Human Organizations. IAAI 2001: 51-58 - 2000
- [j1]Craig A. Knoblock, Kristina Lerman, Steven Minton, Ion Muslea:
Accurately and Reliably Extracting Data from the Web: A Machine Learning Approach. IEEE Data Eng. Bull. 23(4): 33-41 (2000) - [c3]Kristina Lerman, Steven Minton:
Learning the Common Structure of Data. AAAI/IAAI 2000: 609-614 - [c2]Kristina Lerman:
Design and Mathematical Analysis of Agent-Based Systems. FAABS 2000: 222-234 - [c1]Kristina Lerman, Onn Shehory:
Coalition Formation for Large-Scale Electronic Markets. ICMAS 2000: 167-174
Coauthor Index
Keith Burghardt
aka: Keith A. Burghardt
aka: Keith A. Burghardt
[c162] [c158] [c155] [i181] [i178] [i171] [i170] [i169] [i168] [i167] [i155] [c151] [c148] [c147] [i154] [i149] [i146] [j46] [j45] [c140] [c137] [i138] [i136] [i132] [i131] [c131] [c129] [c128] [c127] [i127] [i123] [i119] [i117] [j36] [c125] [c122] [i112] [i110] [i107] [i106] [i105] [i97] [i96] [c105] [c95] [c94] [i76] [i74] [i67]
[i178] [i172] [c146] [c145] [j48] [i135] [j40] [c134] [c131] [c128] [c126] [i126] [i117] [j38] [j37] [c124] [c123] [c121] [i116] [i115] [i114] [i111] [i110] [i105] [j33] [j32] [c117] [c116] [c114] [c113] [c112] [c111] [i104] [i101] [i100] [i95] [i94] [j31] [j29] [c108] [c107] [c100] [i91] [i90] [i89] [i87] [i85] [i83] [i82] [i78] [c96] [c94] [i74] [j23] [i69] [i65]
Nathan Oken Hodas
aka: Nathan O. Hodas
aka: Nathan O. Hodas
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dblp was originally created in 1993 at:
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the dblp computer science bibliography is funded and supported by:
