THE STRONG CONSENSUS OPINION DYNAMICS ON ADAPTIVE NETWORKS

Ru Wang () and Xu Cai
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Ru Wang: Complexity Science Center, Institute of Particle Physics, Central China Normal University, Wuhan 430079, P. R. China
Xu Cai: Complexity Science Center, Institute of Particle Physics, Central China Normal University, Wuhan 430079, P. R. China

International Journal of Modern Physics C (IJMPC), 2008, vol. 19, issue 12, 1939-1947

Abstract: Many real-world networks are characterized by adaptive changes in their topology depending on the state of their nodes. Here we explore the continuous Sznajd opinion model on an adaptive network, where the link between agents with far apart opinion will get rewired. Our investigations reveal that the adaptation of the network topology fosters cluster formation by enhancing communication between agents, though the Sznajd rule is most effective to achieve a full synchronization of the agents. The interplay between dynamics and topology can have important consequences for the spreading of the opinions.

Keywords: Sociophysics; Mote Carlo simulations; 89.75.-k; 87.23.Ge (search for similar items in EconPapers)
Date: 2008
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DOI: 10.1142/S0129183108013333

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