论文标题
签名定向复合网络中的基序动力学
Motif Dynamics in Signed Directional Complex Networks
论文作者
论文摘要
随着时间的流逝，复杂的网络不断发展并改变其结构。特别是，这些网络中的链接既具有符号又具有方向性。为了了解它们的结构原理，我们测量了网络图案，这些模式在随机网络中似乎不止一个链接属性。我们提出了主题动力学，这是一项研究，旨在研究基序数量的变化，并将基序动力学应用于开放的发展网络模型和经验数据。我们确认，非循环基序与系统大小的相关性比环状结构基序更大。此外，主题动态可以使我们深入了解大学新生之间的友谊。
Complex networks evolve and vary their structure as time goes by. In particular, the links in those networks have both a sign and a directionality. To understand their structural principles, we measure the network motifs, which are patterns that appear much more than one would expect in randomized networks, considering both link properties. We propose motif dynamics, which is a study to investigate the change in the number of motifs, and applied the motif dynamics to an open evolving network model and empirical data. We confirm that a non-cyclic motif has a greater correlation with the system size than a cyclic structural motif. Furthermore, the motif dynamics can give us insight into the friendship between freshmen in a university.
