Influential Node Control Strategy for Opinion Evolution on Social Networks

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 featu...

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Main Authors: Cheng Ju, Jinde Cao, Weiqi Zhang, Mengxin Ji
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2013/689495
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author Cheng Ju
Jinde Cao
Weiqi Zhang
Mengxin Ji
author_facet Cheng Ju
Jinde Cao
Weiqi Zhang
Mengxin Ji
author_sort Cheng Ju
collection DOAJ
description 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.
format Article
id doaj-art-e9d5c48612664f05b7f1d48c3ccb6f23
institution Kabale University
issn 1085-3375
1687-0409
language English
publishDate 2013-01-01
publisher Wiley
record_format Article
series Abstract and Applied Analysis
spelling doaj-art-e9d5c48612664f05b7f1d48c3ccb6f232025-02-03T01:28:57ZengWileyAbstract and Applied Analysis1085-33751687-04092013-01-01201310.1155/2013/689495689495Influential Node Control Strategy for Opinion Evolution on Social NetworksCheng Ju0Jinde Cao1Weiqi Zhang2Mengxin Ji3Department of Mathematics, Southeast University, Nanjing 210096, ChinaDepartment of Mathematics, Southeast University, Nanjing 210096, ChinaSchool of Computer and Science and Engineering, Southeast University, Nanjing 210096, ChinaCollege of Economics, Zhejiang University, Hangzhou 310058, ChinaWe 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.http://dx.doi.org/10.1155/2013/689495
spellingShingle Cheng Ju
Jinde Cao
Weiqi Zhang
Mengxin Ji
Influential Node Control Strategy for Opinion Evolution on Social Networks
Abstract and Applied Analysis
title Influential Node Control Strategy for Opinion Evolution on Social Networks
title_full Influential Node Control Strategy for Opinion Evolution on Social Networks
title_fullStr Influential Node Control Strategy for Opinion Evolution on Social Networks
title_full_unstemmed Influential Node Control Strategy for Opinion Evolution on Social Networks
title_short Influential Node Control Strategy for Opinion Evolution on Social Networks
title_sort influential node control strategy for opinion evolution on social networks
url http://dx.doi.org/10.1155/2013/689495
work_keys_str_mv AT chengju influentialnodecontrolstrategyforopinionevolutiononsocialnetworks
AT jindecao influentialnodecontrolstrategyforopinionevolutiononsocialnetworks
AT weiqizhang influentialnodecontrolstrategyforopinionevolutiononsocialnetworks
AT mengxinji influentialnodecontrolstrategyforopinionevolutiononsocialnetworks