Research of Influence Discovery in BBS Based on High Weight Words Collection
Lu Junjia · Microcomputer Information · 2011
BBS as an important news and information dissemination channel in China has been a unneglect phenomenon,where the BBS opinion leaders play significant roles in formation and guidance of public opinion.Influence discovery research draws more and more attention from researchers.Concerning the shortage of traditional method for calculating influential topic,in this paper,we investigate an online forum and construct a social network with the replying relations between comments mapped to the comment authors' relations.This paper proposes a concept named high weight words collection and on the basis of it,a new model was presented by calculating word's influence on re-comment chain,our model can discover the influential people in BBS community.Experimental results show that the model was superior of time and space complexity.It has laid a foundation for further study of the characters in the behavior of complex networks.