Department of Physics, East China Normal University, Shanghai. 200241, P. R. China.
Sci Rep. 2013;3:2512. doi: 10.1038/srep02512.
The dynamical origin of complex networks, i.e., the underlying principles governing network evolution, is a crucial issue in network study. In this paper, by carrying out analysis to the temporal data of Flickr and Epinions-two typical social media networks, we found that the dynamical pattern in neighborhood, especially the formation of triadic links, plays a dominant role in the evolution of networks. We thus proposed a coevolving dynamical model for such networks, in which the evolution is only driven by the local dynamics-the preferential triadic closure. Numerical experiments verified that the model can reproduce global properties which are qualitatively consistent with the empirical observations.
复杂网络的动力学起源，即支配网络演化的基本原理，是网络研究中的一个关键问题。在本文中，我们通过对 Flickr 和 Epinions 这两个典型的社交媒体网络的时间序列数据进行分析，发现邻域中的动态模式，特别是三元链接的形成，在网络的演化中起着主导作用。因此，我们提出了一种用于此类网络的共同进化动力学模型，其中演化仅由局部动力学——优先三元闭合来驱动。数值实验验证了该模型可以再现与经验观测定性一致的全局性质。
