Examining lists on twitter to uncover relationships between following, membership and subscription

Srikar Velichety, Sudha Ram

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

6 Scopus citations

Abstract

We report on an exploratory analysis of pairwise relationships between three different forms of information consumption on Twitter viz., following, listing and subscribing. We develop a systematic framework to examine the relationships between these three forms. Using our framework, we conducted an empirical analysis of a dataset from Twitter. Our results show that people not only consume information by explicitly following others, but also by listing and subscribing to lists and that the people they list or subscribe to are not the same as the ones they follow. Our work has implications for understanding information propagation and diffusion via Twitter and for generating recommendations for adding users to lists, subscribing and merging or splitting them.

Original languageEnglish (US)
Title of host publicationWWW 2013 Companion - Proceedings of the 22nd International Conference on World Wide Web
Pages673-675
Number of pages3
StatePublished - Dec 1 2013
Event22nd International Conference on World Wide Web, WWW 2013 - Rio de Janeiro, Brazil
Duration: May 13 2013May 17 2013

Publication series

NameWWW 2013 Companion - Proceedings of the 22nd International Conference on World Wide Web

Other

Other22nd International Conference on World Wide Web, WWW 2013
CountryBrazil
CityRio de Janeiro
Period5/13/135/17/13

Keywords

  • Descriptive modeling
  • Lists
  • Membership
  • Subscription
  • Twitter

ASJC Scopus subject areas

  • Computer Networks and Communications

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