Topic-based Social Influence Measurement for Social Networks

Authors

  • Asso Hamzehei CSE, UNSW Data61, CSIRO http://orcid.org/0000-0003-0267-7771
  • Shanqing Jiang CSE, UNSW
  • Danai Koutra University of Michigan, USA
  • Raymond Wong CSE, UNSW
  • Fang Chen Data61, CSIRO CSE, UNSW

DOI:

https://doi.org/10.3127/ajis.v21i0.1552

Keywords:

Topic-based social influence, Social networks analysis, influence measurement,

Abstract

Social science studies have acknowledged that the social influence of individuals is not identical. Social networks structure and shared text can reveal immense information about users, their interests, and topic-based influence. Although some studies have considered measuring user influence, less has been on measuring and estimating topic-based user influence. In this paper, we propose an approach that incorporates network structure, user-generated content for topic-based influence measurement, and user’s interactions in the network. We perform experimental analysis on Twitter data and show that our proposed approach can effectively measure topic-based user influence.

Author Biographies

Asso Hamzehei, CSE, UNSW Data61, CSIRO

PhD Candidate

Shanqing Jiang, CSE, UNSW

Masters student

Danai Koutra, University of Michigan, USA

Professor in Computer Science

Raymond Wong, CSE, UNSW

Professor in Computer Science

Fang Chen, Data61, CSIRO CSE, UNSW

Professor in Computer Science

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Published

2017-11-08

How to Cite

Hamzehei, A., Jiang, S., Koutra, D., Wong, R., & Chen, F. (2017). Topic-based Social Influence Measurement for Social Networks. Australasian Journal of Information Systems, 21. https://doi.org/10.3127/ajis.v21i0.1552

Issue

Section

Selected Papers from the Australasian Conference on Data Mining (AusDM)