Topic-based social influence measurement for social networks
- Publisher:
- Australasian Association for Information Systems and Australian Computer Society
- Publication Type:
- Journal Article
- Citation:
- Australasian Journal of Information Systems, 2017, 21, (0), pp. 1-14
- Issue Date:
- 2017-01-01
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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.
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