Topic-based Social Influence Measurement for Social Networks

Australasian Journal of Information Systems

Asso Hamzehei¹  Raymond Wong²  Shanqing Jiang²  Fang Chen³  Danai Koutra⁴ 

[1] CSE, UNSWData61, CSIRO;CSE, UNSW;Data61, CSIROCSE, UNSW;University of Michigan, USA;

关键词: Topic-based social influence;    Social networks analysis;    influence measurement;   

DOI  :  10.3127/ajis.v21i0.1552

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown