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

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Abstract

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.

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Details

Publication date27 Oct 2013
Publication titleACM international conference on information and knowledge management
Place of PublicationNew York, NY (US)
PublisherACM
Pages1649-1654
Number of pages6
ISBN (Print)978-1-4503-2263-8
Original languageEnglish
Event22nd ACM international conference on Conference on Information and Knowledge Management - Burlingame, CA, United States

Conference

Conference22nd ACM international conference on Conference on Information and Knowledge Management
Abbreviated titleCIKM 2013
CountryUnited States
CityBurlingame, CA
Period27/10/131/11/13

DOI

Employable Graduates; Exploitable Research

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