模型再现了人类接触网络的个体、群体和集体动态
Model reproduces individual, group and collective dynamics of human contact networks
摘要：
在各种社交场所的人类面对面互动的动态的经验数据最近揭示了一些上下文无关的结构和时间特性的人类接触网络。这种普遍性表明，一些基本的机制可能是负责在物理空间中展开人类互动。在这里，我们讨论一个简单的模型，再现经验分布的个人，群体和集体的动态面对面的接触网络。该模型描述了代理随机移动在一个二维空间，往往会停止时，满足“有吸引力”的同行，并准确地再现经验分布。
英文摘要：
Empirical data on the dynamics of human face-to-face interactions across a variety of social venues have recently revealed a number of context-independent structural and temporal properties of human contact networks. This universality suggests that some basic mechanisms may be responsible for the unfolding of human interactions in the physical space. Here we discuss a simple model that reproduces the empirical distributions for the individual, group and collective dynamics of face-to-face contact networks. The model describes agents that move randomly in a two-dimensional space and tend to stop when meeting "attractive" peers, and reproduces accurately the empirical distributions.
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