Abstract: Crime organization relations are mined using social network based on crime organization map. The crime organization relations mining includes two aspects, one is proposing a method to determine the important persons of crime organization using centricity index of social network, the other is mining the relation of crime organization members. Experimental results show that the methods of crime organization mining have good performance and effect.

Key words: social network, crime organization, important person, organization relation

摘要： 在对犯罪组织进行图形化构建的基础上，利用社会网络方法对犯罪组织关系进行挖掘。犯罪组织关系挖掘包含根据社会网络的中心性指标提出一种犯罪组织重点人员判定方法和挖掘犯罪组织成员间的关系。实验结果显示，犯罪组织关系挖掘方法具有较好的性能和挖掘效果。

关键词: 社会网络, 犯罪组织, 重点人员, 组织关系

CLC Number: 

• TP18