Originator or propagator? Incorporating social role theory into topic models for twitter content analysis

Xin Wayne Zhao, Jinpeng Wang, Yulan He, Jian-Yun Nie, Xiaoming Li

Research output: Chapter in Book/Published conference outputConference publication


A large number of studies have been devoted to modeling the contents and interactions between users on Twitter. In this paper, we propose a method inspired from Social Role Theory (SRT), which assumes that a user behaves differently in different roles in the generation process of Twitter content. We consider the two most distinctive social roles on Twitter: originator and propagator, who respectively posts original messages and retweets or forwards the messages from others. In addition, we also consider role-specific social interactions, especially implicit interactions between users who share some common interests. All the above elements are integrated into a novel regularized topic model. We evaluate the proposed method on real Twitter data. The results show that our method is more effective than the existing ones which do not distinguish social roles.

Original languageEnglish
Title of host publicationACM international conference on information and knowledge management
Place of PublicationNew York, NY (US)
Number of pages6
ISBN (Print)978-1-4503-2263-8
Publication statusPublished - 27 Oct 2013
Event22nd ACM international conference on Conference on Information and Knowledge Management - Burlingame, CA, United States
Duration: 27 Oct 20131 Nov 2013


Conference22nd ACM international conference on Conference on Information and Knowledge Management
Abbreviated titleCIKM 2013
Country/TerritoryUnited States
CityBurlingame, CA

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