chapter

Why We Twitter: An Analysis of a Microblogging Community

Authors:

Belle TsengAuthors Info & Claims

Advances in Web Mining and Web Usage Analysis: 9th International Workshop on Knowledge Discovery on the Web, WebKDD 2007, and 1st International Workshop on Social Networks Analysis, SNA-KDD 2007, San Jose, CA, USA, August 12-15, 2007. Revised Papers

February 2009

Pages 118 - 138

https://doi.org/10.1007/978-3-642-00528-2_7

Published: 17 February 2009 Publication History

Abstract

Microblogging is a new form of communication in which users describe their current status in short posts distributed by instant messages, mobile phones, email or the Web. We present our observations of the microblogging phenomena by studying the topological and geographical properties of the social network in Twitter, one of the most popular microblogging systems. We find that people use microblogging primarily to talk about their daily activities and to seek or share information. We present a taxonomy characterizing the the underlying intentions users have in making microblogging posts. By aggregating the apparent intentions of users in implicit communities extracted from the data, we show that users with similar intentions connect with each other.

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https://dl.acm.org/doi/10.1145/3580305.3599470
Tong XLi YLi JBei RZhang LConitzer VTasioulas JScheutz MCalo RMara MZimmermann A(2022)What are People Talking about in #BackLivesMatter and #StopAsianHate?Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society10.1145/3514094.3534202(723-738)Online publication date: 26-Jul-2022
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Advances in Web Mining and Web Usage Analysis: 9th International Workshop on Knowledge Discovery on the Web, WebKDD 2007, and 1st International Workshop on Social Networks Analysis, SNA-KDD 2007, San Jose, CA, USA, August 12-15, 2007. Revised Papers

February 2009

153 pages

ISBN:9783642005275

Editors:
Haizheng Zhang
One Microsoft Way, Redmond, USA WA 98052
,
Myra Spiliopoulou
Faculty of Computer Science, Otto von Guericke University Magdeburg, Magdeburg, Germany 39016
,
Bamshad Mobasher
School of Computing Science, Telecommunications Information Systems, DePaul University, Chicago, USA IL 60604
,
C. Lee Giles
College of Information Science and Technology, Pennsylvania State University, University Park, USA PA 16802
,
Andrew Mccallum
Department of Computer Science, University of Massachusetts, Amherst, USA MA 01003
,
Olfa Nasraoui
Computer Engineering and Computer Science Department, University of Louisville, Louisville, USA KY 40292
,
Jaideep Srivastava
Department of Computer Science and Engineering, University of Minnesota, Minneapolis, USA MN 55455
,
John Yen
College of Information Sciences and Technology, The Pennsylvania State University, Unversity Park, USA PA 16802

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 17 February 2009

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Cited By

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https://dl.acm.org/doi/10.1145/3580305.3599470
Tong XLi YLi JBei RZhang LConitzer VTasioulas JScheutz MCalo RMara MZimmermann A(2022)What are People Talking about in #BackLivesMatter and #StopAsianHate?Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society10.1145/3514094.3534202(723-738)Online publication date: 26-Jul-2022
https://dl.acm.org/doi/10.1145/3514094.3534202
Pulido CChaparro LRudas JVictorino JEstrada CNarvaez LGómez F(2021)Prediction of Perception of Security Using Social Media ContentProgress in Pattern Recognition, Image Analysis, Computer Vision, and Applications10.1007/978-3-030-93420-0_9(88-96)Online publication date: 10-May-2021
https://dl.acm.org/doi/10.1007/978-3-030-93420-0_9
Chaparro LPulido CRudas JReyes AVictorino JNarváez LGómez FMartinez DAlhajj R(2020)Sentiment analysis of social network content to characterize the perception of securityProceedings of the 12th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining10.1109/ASONAM49781.2020.9381434(685-691)Online publication date: 7-Dec-2020
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