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Scientific Programming
Volume 2017 (2017), Article ID 5046905, 6 pages
https://doi.org/10.1155/2017/5046905
Research Article

Analysis of the Dynamic Influence of Social Network Nodes

Software College, Northeastern University, No. 195, Chuangxin Road, Shenyang, Liaoning, China

Correspondence should be addressed to Hai Yu; moc.621@iahuy

Received 21 October 2016; Accepted 5 January 2017; Published 31 January 2017

Academic Editor: Fabrizio Riguzzi

Copyright © 2017 Hong-Jian Yin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

In recent years, with the development of the social network theories, how to find or mining the most significant node in social network for understanding or controlling the information dissemination has become a hot topic and a series of effective algorithms have been presented. In this paper, a new scheme to measure the dynamic influence of the nodes in a social network is proposed, in which the sum of trust values of the propagation nodes is used. Simulations have been carried out and the results show that our scheme is stable and accurate.