科学合作网络中的观点动力学和同步
Opinion dynamics and synchronization in a network of scientific collaborations
摘要：
在本文中，我们讨论了最近提出的观点变化率（OCR）模型中的观点动力学（A.Pluchino，V.Latora and A.Rapisarda Int. J. Mod. Phys. C，16，No.4，515-531（2005））。OCR模型允许研究是否以及如何一组社会代理，具有不同的内在倾向率改变意见，发现协议。特别是，我们实现了OCR模型上的一个小图描述一个真正的社会系统的拓扑结构。图中的节点是参加Tepoztlan会议的科学家，庆祝Alberto Robledo的60岁生日，链接是基于科学论文的合著者。我们研究意见如何根据节点的频率变化率，耦合项，以及组结构的存在而随时间演变。
英文摘要：
In this paper we discuss opinion dynamics in the Opinion Changing Rate (OCR) model, recently proposed (A.Pluchino, V.Latora and A.Rapisarda Int. J. Mod. Phys. C, 16, No.4, 515-531 (2005)). The OCR model allows to study whether and how a group of social agents, with a different intrinsic tendency rate to change opinion, finds agreement. In particular, we implement the OCR model on a small graph describing the topology of a real social system. The nodes of the graph are scientists partecipating to the Tepoztlan conference, celebrating Alberto Robledo's 60th birthday, and the links are based on coauthorship in scientific papers. We study how opinions evolve in time according to the frequency rates of the nodes, to the coupling term, and also to the presence of group structures.
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