Journal of Shanghai Jiaotong University ›› 2013, Vol. 47 ›› Issue (07): 1055-1059.

• Automation Technique, Computer Technology • Previous Articles     Next Articles

An Importance Analytical Approach for Online Social Network

WANG Haoxiang,ZENG Shan,LIU Huiyang
  

  1. (School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006 China; Communication and Computer Network Laboratory of Guangdong Province, Guangzhou 510641, China)
  • Received:2012-07-02 Online:2013-07-30 Published:2013-07-30

Abstract:

An importance matrix iteration algorithm for online social network importance analysis was proposed based on existing importance analysis algorithms for complex networks, and considering the characteristics of online social networks. This novel approach considers the influence between nodes and has been approved to be efficient and accurate by experiments described in the paper. This paper can help to improve the efficiency and accuracy of the analysis of information propagation and public opinions on the Internet.

Key words: complex networks, importance analysis, matrix iteration, PageRank algorithm

CLC Number: