面对面交互网络的人类动力学建模
Modeling human dynamics of face-to-face interaction networks
摘要：
面对面的互动网络描述了人类聚会中的社会互动，是传染病传播和流言传播等过程的基础。人类行为的突发性特征体现在经验数据的许多方面，例如会话长度的分布、每个人的会话或会话间时间的分布。尽管最近进行了几次尝试，但仍然缺乏对从数据中得出的全球情况的一般性理论理解。在这里，我们提出了一个简单的模型，定量再现经验面对面互动网络的相关功能。该模型描述的代理人执行随机行走在一个二维空间，其特点是吸引力，其效果是减缓他们周围的人的运动。所提出的框架揭示了人类互动的动态，并可以提高建模的动态过程发生在随后的动态社交网络。
英文摘要：
Face-to-face interaction networks describe social interactions in human gatherings, and are the substrate for processes such as epidemic spreading and gossip propagation. The bursty nature of human behavior characterizes many aspects of empirical data, such as the distribution of conversation lengths, of conversations per person, or of inter-conversation times. Despite several recent attempts, a general theoretical understanding of the global picture emerging from data is still lacking. Here we present a simple model that reproduces quantitatively most of the relevant features of empirical face-to-face interaction networks. The model describes agents which perform a random walk in a two dimensional space and are characterized by an attractiveness whose effect is to slow down the motion of people around them. The proposed framework sheds light on the dynamics of human interactions and can improve the modeling of dynamical processes taking place on the ensuing dynamical social networks.
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