Mining Algorithm of Opinion Leaders Based on Analysis of User Attention Behavior
نویسندگان
چکیده
Mining opinion leaders is of great significance to the dissemination of information in social network. This paper put forward a mining algorithm of opinion leaders in social network. First, the algorithm defined the concept of attention degree based on the analysis of user attention behaviors including forward, comment, point praise and other concerns. Then it adopted the ideas of voting in the PageRank algorithm to calculate user's influence. Experimental analysis based on data set from Sina Microblogging shows that the algorithm can identify the influential users more effective and accurate.
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