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Abstract and Applied Analysis
Volume 2013 (2013), Article ID 689495, 6 pages
http://dx.doi.org/10.1155/2013/689495
Research Article

Influential Node Control Strategy for Opinion Evolution on Social Networks

1Department of Mathematics, Southeast University, Nanjing 210096, China
2Department of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia
3School of Computer and Science and Engineering, Southeast University, Nanjing 210096, China
4College of Economics, Zhejiang University, Hangzhou 310058, China

Received 16 October 2013; Accepted 17 November 2013

Academic Editor: Qiankun Song

Copyright © 2013 Cheng Ju 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

We study opinion dynamics in social networks and present a new strategy to control the invasive opinion. A developed continuous-opinion evolution model is proposed to describe the mechanism of making decision in closed community. Two basic strategies of evolution are determined, and some basic features of our new model are analyzed. We study the different invasive strategies. It is shown via using Monte Carlo simulations that our new model shows different invulnerability with traditional model. Node degree and cohesion in invasive small-world community plays less significant role when the evolution of opinion is continuous rather than dichotomous. Using simulation, we find one kind of Influential Nodes that can affect the outcome dramatically, while these Influential Nodes are sensitive to their node degree and the evolution weight. Thus, we develop invasive control strategy based on these features.