Identifying representative reviewers in internet social media

Authors:
Sang-Min Choi;Jeong-Won Cha;Yo-Sub Han
Affiliations:
Department of Computer Science, Yonsei University, Seoul, Republic of Korea;Department of Computer Engineering, Changwon National University, Changwon, Republic of Korea;Department of Computer Science, Yonsei University, Seoul, Republic of Korea
Venue:
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume Part II
Year:
2010

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Abstract

In a society, we have many forms of relations with other people from home, work or school. These relationships give rise to a social network. People in a social network receive, provide and pass lots of information. We often observe that there are a group of people who have high influence to other people. We call these high influence people opinion leaders. Thus, it is important and useful to identify opinion leaders in a social network. In Web 2.0, there are many user participations and we can create a social network from the user activities. We propose a simple yet reliable algorithm that finds opinion leaders in a cyber social network. We consider a social network of users who rate musics and identify representative users of the social network. Then, we verify the correctness of the proposed algorithm by the T-test.