Computer Engineering & Science >
A Feature Analysis of the Opinion Leader in OnLine Communities
Received date: 2010-01-20
Revised date: 2010-04-20
Online published: 2011-01-25
We use a method of social network analysis to indentify opinion leaders in social networks. First of all we analyze the characteristics of the social networks of online communities, consider the difference between BBS, blogosphere and Q&A network, and propose that undirected weighted network models will enhance the identification accuracy of opinion leaders. Then, we analyze the features of social networks. We validate that BBS is smallworld and scalefree, and we make a quantitative analysis of the social background of opinion leaders. We also propose a PageRank algorithm based on undirected weighted networks, and test several algorithms proposed before our experiment. We use four years’ data from a BBS, and test these algorithms. Finally, we make a profound analysis and find the relationship between opinion leaders and boards, and the result shows that we can find a majority of opinion leaders from covering few boards.
XIAO Yu,XU Wei,XIA Lin . A Feature Analysis of the Opinion Leader in OnLine Communities[J]. Computer Engineering & Science, 2011 , 33(1) : 150 -156 . DOI: 10.3969/j.issn.1007130X.2011.
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