An Algorithm for Online Forum Opinion Leaders Discovery Based on Local Centrality
Zhu Pei-dong · Computer Technology and Development · 2012
During the formation of network public opinion,opinion leaders in the network will greatly affect the direction of network public opinion.With the expansion of the influence of network public opinion,domestic and foreign scholars have begun to focus on the study of opinion leaders in online forums.Investigated an online forum and constructed a social network with the replying relations between posts and comments mapped to relations between posters and comment authors.Individual in-degree indicates the degree of concern while local centrality of an individual directly reflects the number of individuals that individual has direct contact with.Proposed an algorithm for discovering opinion leaders in online forums based on the idea of in-degree and local centrality,and analyse interactions between individuals.Took a forum as a subject,found out the opinion leaders,and verified the correctness of the algorithm by analyzing the experimental results.