Discovering social media experts by integrating social networks and contents

Authors:
Zhao Zhang;Bin Zhao;Weining Qian;Aoying Zhou
Affiliations:
East China Normal University, Shanghai, P. R. China;East China Normal University, Shanghai, P. R. China;East China Normal University, Shanghai, P. R. China;East China Normal University, Shanghai, P. R. China
Venue:
ADC '12 Proceedings of the Twenty-Third Australasian Database Conference - Volume 124
Year:
2012

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Abstract

Social media are media contributed by common users and distributed in social networks. There may exist thousands of answers to a single question provided by different users. However, it is difficult to evaluate the authority of a user to a specific question. We introduce a new method for identifying experts in social media. Both the structure of the social network and content of the media are used in a unified graph model for evaluation of users. Extensive experiments show that our approach can determine authority experts on specific domains.