Measuring user influence in twitter

The million follower fallacy

Meeyoung Cha, Hamed Haddadi, Fabrício Benevenuto, Krishna P. Gummadi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1625 Citations (Scopus)

Abstract

Directed links in social media could represent anything from intimate friendships to common interests, or even a passion for breaking news or celebrity gossip. Such directed links determine the flow of information andhence indicate a user's influence on others-a concept that is crucial in sociology and viral marketing. In this paper, using a large amount of data collected rom Twitter, we present an in-depth comparison of three measures of influence: indegree, retweets, and mentions. Based on these measures, we investigate the dynamics of user influence across topics and time. We make several interesting observations. First, popular users who have high indegree are not necessarily influential in terms of spawning retweets or mentions. Second, most influential users can hold significant influence over a variety of topics. Third, influence is not gained spontaneously or accidentally, but through concerted effort such as limiting tweets to a single topic. We believe that these findings provide new insights for viral marketing and suggest that topological measures such as indegree alone reveals very little about the influence of a user.

Original languageEnglish
Title of host publicationICWSM 2010 - Proceedings of the 4th International AAAI Conference on Weblogs and Social Media
Pages10-17
Number of pages8
Publication statusPublished - 1 Dec 2010
Externally publishedYes
Event4th International AAAI Conference on Weblogs and Social Media, ICWSM 2010 - Washington, DC, United States
Duration: 23 May 201026 May 2010

Other

Other4th International AAAI Conference on Weblogs and Social Media, ICWSM 2010
CountryUnited States
CityWashington, DC
Period23/5/1026/5/10

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Marketing

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Cha, M., Haddadi, H., Benevenuto, F., & Gummadi, K. P. (2010). Measuring user influence in twitter: The million follower fallacy. In ICWSM 2010 - Proceedings of the 4th International AAAI Conference on Weblogs and Social Media (pp. 10-17)

Measuring user influence in twitter : The million follower fallacy. / Cha, Meeyoung; Haddadi, Hamed; Benevenuto, Fabrício; Gummadi, Krishna P.

ICWSM 2010 - Proceedings of the 4th International AAAI Conference on Weblogs and Social Media. 2010. p. 10-17.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cha, M, Haddadi, H, Benevenuto, F & Gummadi, KP 2010, Measuring user influence in twitter: The million follower fallacy. in ICWSM 2010 - Proceedings of the 4th International AAAI Conference on Weblogs and Social Media. pp. 10-17, 4th International AAAI Conference on Weblogs and Social Media, ICWSM 2010, Washington, DC, United States, 23/5/10.
Cha M, Haddadi H, Benevenuto F, Gummadi KP. Measuring user influence in twitter: The million follower fallacy. In ICWSM 2010 - Proceedings of the 4th International AAAI Conference on Weblogs and Social Media. 2010. p. 10-17
Cha, Meeyoung ; Haddadi, Hamed ; Benevenuto, Fabrício ; Gummadi, Krishna P. / Measuring user influence in twitter : The million follower fallacy. ICWSM 2010 - Proceedings of the 4th International AAAI Conference on Weblogs and Social Media. 2010. pp. 10-17
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