基于信息传播的社交网络拓扑模型

研究社交网络的拓扑结构有利于深刻理解信息在人际网络中的传播过程以及社交网络所具有的拓扑特性。考虑到信息传递具有有向性,通过结合现实生活中信息传播所遵循的规律构造加权有向拓扑模型模拟信息传递的动态性,从而更好地仿真社交网络的拓扑结构。实验结果表明,模型所生成网络的拓扑结构的度、势分布以及度—势相关性具有明显的幂律分布特性;同时,通过分析所生成网络的聚类系数、核数和基尼系数,验证了其具有社交网络的聚集特性、层次性和异质性。

Social network model based on the transmission of information

The topology modeling of the social network is propitious to understanding the transmission process of information and the topology characteristic of the real friendship network. Considering the directed characteristic of information spread, the dynamic process of information dissemination was simulated, and moreover, the weighted directed topology model in order to well emulate the topology structure of the social network was constructed. Simulation results show the degree and strength distribution as well as the correlation between degree and strength of the network generate by the topology model embody obvious power-law characteristic, and meanwhile, through analyzing the clustering coefficient, coreness and Gini coefficient of the network, the generated network has the characteristics of clustering, layer and heterogeneity which are shown in the real friendship network is verified.