Consensus formation on adaptive networks
Consensus formation on adaptive networks
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DOI：
10.1103/physreve.77.016102
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发表时间：
2008-01-01
影响因子：
2.4
通讯作者：
Barrat, Alain
中科院分区：
文献类型：
--
作者：
Kozma, Balazs;Barrat, Alain
网络的结构可以显著影响发生在其上的动态过程的性质。虽然许多研究已经支付了这种影响，很少有人致力于自适应网络的动态过程和网络拓扑结构之间的相互作用和反馈机制。在真实的生活系统中，如熟人网络，如果人们的观点和价值观相似，他们更有可能保持社会联系。在我们的研究中，我们考虑了共识形成模型的不同变体。我们的调查表明，网络拓扑结构的适应促进集群形成，通过加强代理人之间的沟通，类似的意见，虽然它也促进了这些集群的分工。时间行为也受到自适应性的强烈影响：而在静态网络上，它受到渗流性质的影响，在自适应网络上，系统的早期和晚期演化都由重新布线过程决定。对该模型的一个变体的研究表明，在自适应网络上，共识状态和极化状态之间的转换场景更加鲁棒。
The structure of a network can significantly influence the properties of the dynamical processes that take place on them. While many studies have been paid 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, although 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 evolutions 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.