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

Keywords: SNA(Social Network Analysis),crime data mining,shortest path,six degrees of separation,knowledge discovery
社会网络分析
,犯罪数据挖掘,最短路径,六度分割,知识发现

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Abstract:

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.

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