针对传统的分析方法没有考虑真实的社会网络的属性特征,比如社会个体属性,社会关系的强度等等,建立了社会网络的扩展图模型,并在此基础上定义了基于信息流的网络层次性结构,提出了基于拓扑势支持的网络骨干节点的发现方法和基于势流动的层次结构发现方法,并通过实际网络的层次结构挖掘验证了所提方法的有效性。
According to the fact that the conventional social network analysis methods did not consider the role of network property, such as social individuals′ position, the strength of social relations. We introduced a new social network model based on extended graph and hierarchical structure based on information flow. Also, we proposed a method for discovering the backbone nodes based on the Network Topology Potential Support and a method for discovering the network hierarchy based on the potential flow. The experimental results show the effectiveness of our method in mining the hierarchical structure of networks.
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