论文标题
交互作用在时间变化网络中的持久性的表征
Characterization of interactions' persistence in time-varying networks
论文作者
论文摘要
许多复杂的网络系统在其顶点之间表现出挥发性的动态相互作用，他们的命令和持久性在其上发生的动态过程的结果回荡。为了量化和表征时变网络的快照的相似性 - 持久性的代理 - 我们介绍了一项研究，研究了基于名为\ emph {permaph {permotality}的描述符的相互作用的持久性。我们使用时间性的平均值，$ \ operline {\ mathcal {t}} $，评估``\ emph {special}'''是一个给定的时间变化网络，在订单的快照序列的配置空间内。我们分析了几个经验网络的时间性，发现经验序列比它们的随机序列要相似得多。我们还研究了$ \ overline {\ Mathcal {t}} $由（时间）分辨率进行的效果。
Many complex networked systems exhibit volatile dynamic interactions among their vertices, whose order and persistence reverberate on the outcome of dynamical processes taking place on them. To quantify and characterize the similarity of the snapshots of a time-varying network -- a proxy for the persistence,-- we present a study on the persistence of the interactions based on a descriptor named \emph{temporality}. We use the average value of the temporality, $\overline{\mathcal{T}}$, to assess how ``\emph{special}'' is a given time-varying network within the configuration space of ordered sequences of snapshots. We analyze the temporality of several empirical networks and find that empirical sequences are much more similar than their randomized counterparts. We study also the effects on $\overline{\mathcal{T}}$ induced by the (time) resolution at which interactions take place.
