introduction

Free access

Introduction to the Special Issue on Linking Social Granularity and Functions

Authors:

Qi He,

Juanzi Li,

Rong Yan,

John Yen,

Haizheng ZhangAuthors Info & Claims

ACM Transactions on Intelligent Systems and Technology (TIST), Volume 5, Issue 2

Article No.: 22, Pages 1 - 3

https://doi.org/10.1145/2594452

Published: 30 April 2014 Publication History

PDF eReader

References

[1]

A. Mislove, B. Viswanath, K. Gummadi, and P. Druschel. 2010. You are who you know: Inferring user profiles in online social networks. In Proceedings of WSDM. 251--260.

Digital Library

Google Scholar

[2]

M. Newman. 2003. The structure and function of complex networks. SIAM Rev. 45, 2, 167--256.

Digital Library

Google Scholar

[3]

D. Quercia, J. Ellis, L. Capra, and J. Crowcroft. 2011. In the mood for being influential on Twitter. In Proceedings of the 3rd IEEE International Conference on Social Computing.

Google Scholar

[4]

X. Wu and Z. Liu. 2008. How community structure influences epidemic spread in social networks. Physica A: Statistical Mechanics Appl. 387, 2--3, 623--630.

Crossref

Google Scholar

[5]

Z. Yin, M. Gupta, T. Weninger, and J. Han. 2010a. Linkrec: A unified framework for link recommendation with user attributes and graph structure. In Proceedings of WWW. 1211--1212.

Digital Library

Google Scholar

[6]

Z. Yin, M. Gupta, T. Weninger, and J. Han. 2010b. A unified framework for link recommendation using random walks. In Proceedings of ASONAM.

Digital Library

Google Scholar

[7]

E. Zheleva and L. Getoor. 2009. To join or not to join: The illusion of privacy in social networks with mixed public and private user profiles. In Proceedings of WWW. 531--540.

Digital Library

Google Scholar

[8]

K. Zhao, J. Yen, G. Greer, B. Qiu, P. Mitra, and K. Portier. 2014. Finding influential users of online health communities: A new metric based on sentiment influence. J. Amer. Med. Informatics Assoc.

Crossref

Google Scholar

Cited By

View all

Zhao RGui LYan HHe Y(2023)Tracking Brand-Associated Polarity-Bearing Topics in User ReviewsTransactions of the Association for Computational Linguistics10.1162/tacl_a_0055511(404-418)Online publication date: 9-May-2023
https://doi.org/10.1162/tacl_a_00555
Fu XLi JYang KCui LYang L(2016)Dynamic Online HDP model for discovering evolutionary topics from Chinese social textsNeurocomputing10.1016/j.neucom.2015.06.047171:C(412-424)Online publication date: 1-Jan-2016
https://dl.acm.org/doi/10.1016/j.neucom.2015.06.047

Recommendations

Introduction to the Special Issue Social Commerce: A Research Framework for Social Commerce

The increased popularity of social networking sites, such as Linkedln, Facebook, and Twitter, has opened opportunities for new business models for electronic commerce, often referred to as social commerce. Social commerce involves using Web 2.0 social ...
Introduction to the special issue on language in social media: Exploiting discourse and other contextual information

Social media content is changing the way people interact with each other and share information, personal messages, and opinions about situations, objects, and past experiences. Most social media texts are short online conversational posts or comments ...
Special Issue: Learning and creativity Part 2

Special Issue Part 1 (Issue 3) and Part 2 (Issue 4) of AIEDAM are based on a workshop on Learning and Creativity held at the 2002 conference on Artificial Intelligence in Design, AID '02 (www.cad.strath.ac.uk/AID02_workshop/Workshop_webpage.html; Gero, ...

Comments

Information & Contributors

Information

Published In

cover image ACM Transactions on Intelligent Systems and Technology

ACM Transactions on Intelligent Systems and Technology Volume 5, Issue 2

Special Issue on Linking Social Granularity and Functions

April 2014

347 pages

ISSN:2157-6904

EISSN:2157-6912

DOI:10.1145/2611448

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: 30 April 2014

Published in TIST Volume 5, Issue 2

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Introduction
Research
Refereed

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
359
Total Downloads

Downloads (Last 12 months)40
Downloads (Last 6 weeks)21

Reflects downloads up to 15 Oct 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Zhao RGui LYan HHe Y(2023)Tracking Brand-Associated Polarity-Bearing Topics in User ReviewsTransactions of the Association for Computational Linguistics10.1162/tacl_a_0055511(404-418)Online publication date: 9-May-2023
https://doi.org/10.1162/tacl_a_00555
Fu XLi JYang KCui LYang L(2016)Dynamic Online HDP model for discovering evolutionary topics from Chinese social textsNeurocomputing10.1016/j.neucom.2015.06.047171:C(412-424)Online publication date: 1-Jan-2016
https://dl.acm.org/doi/10.1016/j.neucom.2015.06.047

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Get Access

Login options

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

References

Cited By

Recommendations

Introduction to the Special Issue Social Commerce: A Research Framework for Social Commerce

Introduction to the special issue on language in social media: Exploiting discourse and other contextual information

Special Issue: Learning and creativity Part 2

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

Get Access

Login options

Full Access

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations