论文标题
社交网络致密化的开关机理
The switching mechanisms of social network densification
论文作者
论文摘要
时间网络的致密化和稀疏归因于两种基本机制：系统中人群的变化和/或系统中节点中节点的机会的变化。从理论上讲，这些机制中的每一个都会产生一种独特的致密化缩放类型，但实际上两种类型通常都是混合的。在这里，我们开发了一种贝叶斯统计方法，以确定每个机制在给定时间点发挥作用的程度，以混合的致密化缩放为输入。我们将方法应用于个人面对面相互作用的网络，并揭示导致致密化和稀疏性的主要机制有时会切换，其频率取决于社会环境。所提出的方法揭示了网络动态的固有制度转换属性，该属性将为不断发展的社会互动背后的机制提供新的见解。
Densification and sparsification of temporal networks are attributed to two fundamental mechanisms: a change in the population in the system and/or a change in the chances that nodes in the system are connected. In theory, each of these mechanisms generates a distinctive type of densification scaling, but in reality both types are generally mixed. Here, we develop a Bayesian statistical method to identify the extent to which each of these mechanisms is at play at a given point in time, taking the mixed densification scaling as input. We apply the method to networks of face-to-face interactions of individuals and reveal that the main mechanism that causes densification and sparsification occasionally switches, the frequency of which depending on the social context. The proposed method uncovers an inherent regime-switching property of network dynamics, which will provide a new insight into the mechanics behind evolving social interactions.
