Cha, M., Kwak, H., Rodriguez, P., Ahn, Y.-Y., and Moon, S. I tube, you tube, everybody tubes: analyzing the world's largest user-generated content video system. In Proceedings of the Seventh ACM SIGCOMM Conference on Internet Measurement (San Diego, Oct. 24--26). ACM Press, New York, 2007, 1--14.

Digital Library

Google Scholar

[3]

Cheng, X., Dale, C., and Liu, J. Statistics and social network of YouTube videos. In Proceedings of the 16th International Workshop on Quality of Service (Enschede, The Netherlands, June 2--4, 2008), 229--238.

Crossref

Google Scholar

[4]

Digg API; http://digg.com/api/docs/overview

Google Scholar

[5]

Feller. W. An Introduction to Probability Theory and Its Applications, Vol. 1. John Wiley & Sons, Inc., New York, 1968.

Google Scholar

[6]

Gill, P., Arlitt, M., Li, Z., and Mahanti, A. YouTube traffic characterization: A view from the edge. In Proceedings of the Seventh ACM SIGCOMM Conference on Internet Measurement (San Diego, Oct. 24--26). ACM Press, New York, 2007, 15--28.

Digital Library

Google Scholar

[7]

Lerman, K. Social information processing in news aggregation. IEEE Internet Computing (Special Issue on Social Search) 11, 6 (Nov. 2007), 16--28.

Digital Library

Google Scholar

[8]

Richardson, M., Dominowska, E., and Ragno, R. Predicting clicks: Estimating the click-through rate for new ads. In Proceedings of the 16th International Conference on the World Wide Web (Banff, Alberta, Canada, May 8--12). ACM Press, New York, 2007, 521--530.

Digital Library

Google Scholar

[9]

Wu, F. and Huberman, B.A. Novelty and collective attention. Proceedings of the National Academy of Sciences 104, 45 (Nov. 2007).

Crossref

Google Scholar

[10]

YouTube API; http://code.google.com/apis/youtube/overview.html

Google Scholar

Cited By

View all

Zhou MLin YLiu GLi ZLiao HMao RLarson K(2024)Modeling personalized retweeting behaviors for multi-stage cascade popularity predictionProceedings of the Thirty-Third International Joint Conference on Artificial Intelligence10.24963/ijcai.2024/287(2598-2606)Online publication date: 3-Aug-2024
https://dl.acm.org/doi/10.24963/ijcai.2024/287
Chiu YWang JHsu Y(2024)Can Lawyers’ Facial Attractiveness Increase the Popularity or Customer Satisfaction? An Example of Expert Q&A ServicesService Science10.1287/serv.2022.004016:4(332-348)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1287/serv.2022.0040
Wu BLiu PHuang QZeng ZWang JLiu BLuo JCheng WCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)SMP Challenge Summary: Social Media Prediction ChallengeProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3688996(11442-11444)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3688996
Show More Cited By

Index Terms

Predicting the popularity of online content

Recommendations

Does content determine information popularity in social media?: a case study of youtube videos' content and their popularity
CHI '14: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

We here investigate what drives the popularity of information on social media platforms. Focusing on YouTube, we seek to understand the extent to which content by itself determines a video's popularity. Using mechanical turk as experimental platform, we ...
Predicting the popularity growth of online content

Linear and non-linear patterns characterize the popularity growth of online content.Equilibrium and perturbation phases in the adoption dynamics underlie their formation.The popularity of online content is modeled by interlacing linear and logistic ...
The Dynamics of Content Popularity in Social Media

Social Bookmarking Systems SBS have been widely adopted in the last years, and thus they have had a significant impact on the way that online content is accessed, read and rated. Until recently, the decision on what content to display in a publisher's ...

Comments

Information & Contributors

Information

Published In

Communications of the ACM Volume 53, Issue 8

August 2010

136 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/1787234

Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 August 2010

Published in CACM Volume 53, Issue 8

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Research-article
Popular
Refereed

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

741
Total Citations
View Citations
7,920
Total Downloads

Downloads (Last 12 months)677
Downloads (Last 6 weeks)134

Reflects downloads up to 13 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Zhou MLin YLiu GLi ZLiao HMao RLarson K(2024)Modeling personalized retweeting behaviors for multi-stage cascade popularity predictionProceedings of the Thirty-Third International Joint Conference on Artificial Intelligence10.24963/ijcai.2024/287(2598-2606)Online publication date: 3-Aug-2024
https://dl.acm.org/doi/10.24963/ijcai.2024/287
Chiu YWang JHsu Y(2024)Can Lawyers’ Facial Attractiveness Increase the Popularity or Customer Satisfaction? An Example of Expert Q&A ServicesService Science10.1287/serv.2022.004016:4(332-348)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1287/serv.2022.0040
Wu BLiu PHuang QZeng ZWang JLiu BLuo JCheng WCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)SMP Challenge Summary: Social Media Prediction ChallengeProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3688996(11442-11444)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3688996
Cheng ZZhang JXu XTrajcevski GZhong TZhou FBaeza-Yates RBonchi F(2024)Retrieval-Augmented Hypergraph for Multimodal Social Media Popularity PredictionProceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining10.1145/3637528.3672041(445-455)Online publication date: 25-Aug-2024
https://dl.acm.org/doi/10.1145/3637528.3672041
Aziz MAnderton JJamieson KWang ABouchard HAslam J(2024)Unbiased Identification of Broadly Appealing Content Using a Pure Exploration Infinitely Armed Bandit StrategyACM Transactions on Recommender Systems10.1145/36263243:1(1-22)Online publication date: 2-Aug-2024
https://dl.acm.org/doi/10.1145/3626324
Ye JBao QXu MXu JQiu HJiao P(2024)RD-GCN: A Role-Based Dynamic Graph Convolutional Network for Information Diffusion PredictionIEEE Transactions on Network Science and Engineering10.1109/TNSE.2024.340365211:5(4923-4937)Online publication date: Sep-2024
https://doi.org/10.1109/TNSE.2024.3403652
Krueger TMitra BOzanski TPramanik S(2024)Epidemic Spreading on Directed Networks and Twitter CascadesIEEE Transactions on Network Science and Engineering10.1109/TNSE.2023.334847411:3(2742-2756)Online publication date: May-2024
https://doi.org/10.1109/TNSE.2023.3348474
Cheng ZZhou FXu XZhang KTrajcevski GZhong TYu P(2024)Information Cascade Popularity Prediction via Probabilistic DiffusionIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2024.346524136:12(8541-8555)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1109/TKDE.2024.3465241
Bao PYan RYang C(2024)Popularity Prediction via Modeling Temporal Dependencies on Dynamic Evolution ProcessIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2024.340973736:11(6828-6838)Online publication date: 1-Nov-2024
https://dl.acm.org/doi/10.1109/TKDE.2024.3409737
Rostampoor JAdve RAfana AAhmed Y(2024)Predictive Caching in Non-Stationary Environments: A Time Series Prediction and Survival Analysis ApproachIEEE Open Journal of the Communications Society10.1109/OJCOMS.2024.34492415(5377-5391)Online publication date: 2024
https://doi.org/10.1109/OJCOMS.2024.3449241
Show More Cited By

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Digital Edition

View this article in digital edition.

Digital Edition

Magazine Site

View this article on the magazine site (external)

Magazine Site

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Abstract

References

Cited By

Index Terms

Recommendations

Does content determine information popularity in social media?: a case study of youtube videos' content and their popularity

Predicting the popularity growth of online content

The Dynamics of Content Popularity in Social Media

Comments

Information

Published In

Publisher

Publication History

Permissions

Check for updates

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

PDF

eReader

Digital Edition

Magazine Site

Login options

Full Access

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations