摘要翻译：
网络的结构可以显著地影响其上发生的动力学过程的性质。虽然对这种影响的研究很多，但对自适应网络中动态过程和网络拓扑之间的相互作用和反馈机制的研究却很少。在现实生活系统中，如熟人网络中，自适应的连接重新布线可能会发生，在熟人网络中，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式的不同变体。我们的研究表明，网络拓扑的自适应通过增强意见相似的主体之间的交流促进了集群的形成，尽管它也促进了这些集群的分裂。自适应也强烈地影响了系统的时间行为：在静态网络中，它受渗流特性的影响；在自适应网络中，系统的早期和晚期时间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，在自适应网络中，共识状态和极化状态之间的转换场景更鲁棒。
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英文标题：
《Consensus formation on adaptive networks》
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作者：
Balazs Kozma and Alain Barrat
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最新提交年份：
2007
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分类信息：

一级分类：Physics        物理学
二级分类：Physics and Society        物理学与社会
分类描述：Structure, dynamics and collective behavior of societies and groups (human or otherwise). Quantitative analysis of social networks and other complex networks. Physics and engineering of infrastructure and systems of broad societal impact (e.g., energy grids, transportation networks).
社会和团体（人类或其他）的结构、动态和集体行为。社会网络和其他复杂网络的定量分析。具有广泛社会影响的基础设施和系统（如能源网、运输网络）的物理和工程。
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一级分类：Physics        物理学
二级分类：Statistical Mechanics        统计力学
分类描述：Phase transitions, thermodynamics, field theory, non-equilibrium phenomena, renormalization group and scaling, integrable models, turbulence
相变，热力学，场论，非平衡现象，重整化群和标度，可积模型，湍流
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英文摘要：
  The 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.
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PDF链接：
https://arxiv.org/pdf/707.4416