Title: A novel community influence evaluation scheme based on information propagation in social network

Authors: Bo Zhang; Qianqian Song; Ruxiang Peng; Zhenhua Huang; Qian Xu

Addresses: College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China; College of Electronics and Information Engineering, Tongji University, Shanghai, 201804, China ' College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China ' College of Electronics and Information Engineering, Tongji University, Shanghai, 201804, China ' College of Electronics and Information Engineering, Tongji University, Shanghai, 201804, China ' College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China

Abstract: Influence evaluation is a significant challenge for social network analysis. However, most of existing works focus on individual influence evaluation, while few attentions have been paid to the influence evaluation for whole community in social network. In this paper, we proposed a community influence evaluation model (CIEM) with information propagation perspective, which comprises following aspects: 1) the framework of CIEM and a set of related formal definitions for community influence evaluation; 2) entity influence evaluation methods for CIEM, i.e., user influence and community influence in social network, by evaluating intention degree of user propagating information, and their related calculation algorithm. The experimental results and analysis show that the proposed method in this paper is feasible and effective.

Keywords: social networks; community influence evaluation; CIEM; entity influence; information propagation; social network analysis; SNA; user influence; community influence.

DOI: 10.1504/IJCSM.2016.076040

International Journal of Computing Science and Mathematics, 2016 Vol.7 No.1, pp.29 - 41

Received: 30 Jul 2015
Accepted: 22 Oct 2015

Published online: 22 Apr 2016 *

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