Consensus formation on adaptive networks

dc.creatorKozma, Balazs
dc.creatorBarrat, Alain
dc.date2007-07-30
dc.date.accessioned2026-07-07T08:53:23Z
dc.date.available2026-07-07T08:53:23Z
dc.descriptionThe structure of a network can significantly influence the properties of the dynamical processes which take place on them. While many studies have been devoted to this influence, much less attention has been devoted to the interplay and feedback mechanisms between dynamical processes and network topology on adaptive networks. Adaptive rewiring of links can happen in real life systems such as acquaintance networks where people are more likely to maintain a social connection if their views and values are similar. In our study, we consider different variants of a model for consensus formation. Our investigations reveal that the adaptation of the network topology fosters cluster formation by enhancing communication between agents of similar opinion, though it also promotes the division of these clusters. The temporal behavior is also strongly affected by adaptivity: while, on static networks, it is influenced by percolation properties, on adaptive networks, both the early and late time evolution of the system are determined by the rewiring process. The investigation of a variant of the model reveals that the scenarios of transitions between consensus and polarized states are more robust on adaptive networks.
dc.description11 pages, 14 figures
dc.identifierhttps://arxiv.org/abs/0707.4416
dc.identifierhttp://arxiv.org/abs/0707.4416
dc.identifierPhys. Rev. E 77, 016102 (2008)
dc.identifierdoi:10.1103/PhysRevE.77.016102
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/145607
dc.subjectPhysics and Society
dc.subjectStatistical Mechanics
dc.titleConsensus formation on adaptive networks
dc.typetext

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