社会网络分析和社团信息挖掘的三项探索——挖掘虚拟社团的结构、核心和通信行为

社会网络分析是数据挖掘的新热点。文中综述了社会网络分析研究动态，介绍了作者近期在社会网络挖掘方面的三项探索，包括:（a）虚拟社团的结构挖掘，讨论了初始社团生成、权重计算，社团树生成和社团结构挖掘算法。(b) 基于六度分割和最短路径社团核心成员挖掘，讨论了计算节点间的最短路径，根据六度分割定理的剪枝，基于SPLINE算法和中心度挖掘犯罪子团伙中的核心的技术。(c)基于用户属性的通信行为挖掘，讨论了用户个性和通信行为关系的量化描述，采用911事件解密数据来建立社会网络，用于模拟恐怖分子间邮件的收发。

Three probes into the social network analysis and consortium information mining——mining the structure, core and communication behavior of virtual consortium

SNA(Social Network Analysis) is a new hot spot in data mining area.This paper surveyed the current research advances in SAN,and introduced the author's three research results in recent years,including:(a) Mine the structure of virtual consortium,and discuss the formation of init virtual consortium,weight computation,the generation of the consortium tree and algorithm for structure mining of consortium.(b) Mine the core of consortium based on the Six Degrees of Separation and describe Shortest Path based on LINk wEight algorithm SPLINE(Shortest Path based on LINk wEight).(c) Mine the communication behaviors based on the user's personality,and set a model based on the data from 911 to simulate the email sending-and-receiving between the terrorists.