OPINION DYNAMICS IN POPULATIONS WITH IMPLICIT COMMUNITY STRUCTURE

Xiameng Si (), Yun Liu () and Zhenjiang Zhang ()
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Xiameng Si: School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044, P. R. China;
Yun Liu: School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044, P. R. China;
Zhenjiang Zhang: School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044, P. R. China;

International Journal of Modern Physics C (IJMPC), 2009, vol. 20, issue 12, 2013-2026

Abstract: Web encounter facilitate contacts between people from different communities outside space and time.Implicit Community Structureis exhibited because of highly connected links within community and sparseencountersbetween communities. Considering the imperceptible influence ofencounteron opinions, Sznajd updating rules are used to mimic people's behaviors after encountering a stranger in another community. We introduce a model for opinion evolution, in which the interconnectivity between different communities is represented asencounter frequency, andleadershipis introduced to control the strength of community's opinion guide. In this scenario, the effects ofImplicit Community Structureof contact network on opinion evolution, for asymmetric and random initial distribution but with heterogeneous opinion guide, are investigated respectively. It is shown that largeencounter frequencyfavors consensus of the whole populations and successful opinion spreading, which is qualitatively agree with the results observed in Majority model defined on substrates with predefined community structure.

Keywords: Statistical physics; opinion evolution; implicit community structure; encounter; Monte Carlo; 02.50.Ey; 87.23.Ge; 89.75.Fb (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (2)

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DOI: 10.1142/S0129183109014898

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