Open Access
2013 Influential Node Control Strategy for Opinion Evolution on Social Networks
Cheng Ju, Jinde Cao, Weiqi Zhang, Mengxin Ji
Abstr. Appl. Anal. 2013(SI19): 1-6 (2013). DOI: 10.1155/2013/689495


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.


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Cheng Ju. Jinde Cao. Weiqi Zhang. Mengxin Ji. "Influential Node Control Strategy for Opinion Evolution on Social Networks." Abstr. Appl. Anal. 2013 (SI19) 1 - 6, 2013.


Published: 2013
First available in Project Euclid: 26 February 2014

zbMATH: 07095239
MathSciNet: MR3139432
Digital Object Identifier: 10.1155/2013/689495

Rights: Copyright © 2013 Hindawi

Vol.2013 • No. SI19 • 2013
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