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Coexistence of opposite opinions in a network with communities

R Lambiotte and M Ausloos

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The majority rule is applied to a topology that consists of two coupled random networks, thereby mimicking the modular structure observed in social networks. We calculate analytically the asymptotic behaviour of the model and derive a phase diagram that depends on the frequency of random opinion flips and on the inter-connectivity between the two communities. It is shown that three regimes may take place: a disordered regime, where no collective phenomena takes place; a symmetric regime, where the nodes in both communities reach the same average opinion; and an asymmetric regime, where the nodes in each community reach an opposite average opinion. The transition from the asymmetric regime to the symmetric regime is shown to be discontinuous.


Keywords

random graphs, networks

socio-economic networks

critical phenomena of socio-economic systems

 

E-print Number: physics/0703266

Cited: by |

Refers: to

PACS

89.65.Gh Economics; econophysics, financial markets, business and management

05.40.-a Fluctuation phenomena, random processes, noise, and Brownian motion

02.50.-r Probability theory, stochastic processes, and statistics

89.75.Hc Networks and genealogical trees

MSC

91D30 Social networks

60K35 Interacting random processes; statistical mechanics type models; percolation theory (See also 82B43, 82C43)

91B82 Statistical methods; economic indices and measures

Subjects

Computational physics

Statistical physics and nonlinear systems

Dates

Issue 08 (August 2007)

Received 29 March 2007, accepted for publication 20 July 2007

Published 21 August 2007



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