基于社会网络分析理论的犯罪网络侦测方案设计

Social Network Analysis in Crime Busting

社会网络分析法(SNA)是一种可以对多种网络结构提供详细研究的分析方法。本文采用SNA及相关方法来分析犯罪网络,以确定可能的犯罪集团。首先引入社会网络分析中"合作因子"与"合作距离"这两种度量,量化并分析人员的可疑程度。之后,运用中心度分析法对个体的领导能力进行量化。在模型改进与拓展部分,基于语义网络分析与文本分析法使得分析结果更为精确。同时将所得结果与之前的结果做了比较,给出了模型优缺点分析。最后,讨论了该模型在其他领域中的运用。

Social Network Analysis(SNA)is a popular method which can provide an insight into various networks.In this paper,we use SNA and related methods to analyze crime data and try to get potential criminal gang.In our first stage of crime data analysis,we use cooperation distance metric(CD-metric)combined with the analysis on cooperation factor to identify each individual's true identity.And we then resort to Centrality Analysis,which suggests a good way in determining the focal point(s)in a network,to quantify the ability of people's leadership.In the refinement of the network model,we appeal to the theories of semantic network analysis and text analysis.Meanwhile we compare this result with the former.And we discuss the model's application in other areas such as the biomedical domain in the end of the paper.