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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Format: | Article |
Language: | English |
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Wiley
2013-01-01
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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 |