Two types of Twitter users with equally many followers

Kodai Saito, Naoki Masuda

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

10 Citations (Scopus)

Abstract

The number of followers is acknowledged as the presumably most basic popularity measure of Twitter users. However, because it is subjected to manipulations and therefore may be deceptive, some alternative methods for ranking Twitter users that take into account users' activities such as the tweet and retweet rate have been proposed. We show that there are two types of users possessing a large number of followers. The first type of user follows a small number of others. The second type of user follows almost as equally many others as the number of its followers. Then, we examine egocentric followership networks of users having many followers. We show, as an example, that users of the second type have higher link reciprocity on average than users of the first type. We conclude that the number of others that a user follows is as equally important as the number of followers when estimating the importance of a user in the Twitter blogosphere.

Original languageEnglish
Title of host publicationProceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013
PublisherAssociation for Computing Machinery
Pages1425-1426
Number of pages2
ISBN (Print)9781450322409
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013 - Niagara Falls, ON, Canada
Duration: 2013 Aug 252013 Aug 28

Publication series

NameProceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013

Conference

Conference2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013
Country/TerritoryCanada
CityNiagara Falls, ON
Period13/8/2513/8/28

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

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