@article{Hamzehei_Jiang_Koutra_Wong_Chen_2017, place={Australia}, title={Topic-based Social Influence Measurement for Social Networks}, volume={21}, url={https://journal.acs.org.au/index.php/ajis/article/view/1552}, DOI={10.3127/ajis.v21i0.1552}, abstractNote={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.}, journal={Australasian Journal of Information Systems}, author={Hamzehei, Asso and Jiang, Shanqing and Koutra, Danai and Wong, Raymond and Chen, Fang}, year={2017}, month={Nov.} }