One of the most common methods used in the social network analysis of criminal groups is node importance evaluation, which focuses on the links between network members to identify likely crime suspects. Because such traditional node evaluators do not take full advantage of group members' individual criminal propensities, a new evaluator called the social network criminal suspect evaluator (SNCSE) is proposed. SNCSE incorporates members' individual criminal propensities into the node importance evaluation and employs a novel perspective based on concepts of human and social capital, an ego network structure, and an analogy between social interaction and field theory. SNCSE is applied to solve two real-world problems. Its effectiveness is compared with that of traditional evaluators. The results show that integrating criminal propensity into network analysis enables the more accurate identification of key suspects compared to alternative evaluators.

犯罪群体社交网络分析中最常用的方法之一是节点重要性评估，它着重于网络成员之间的链接以识别可能的犯罪嫌疑人。由于这种传统的节点评估程序无法充分利用组成员的个人犯罪倾向，因此提出了一种新的评估程序，称为社交网络犯罪嫌疑人评估程序（SNCSE）。全国证监会将成员的个人犯罪倾向纳入节点重要性评估，并采用基于人力和社会资本，自我网络结构以及社会互动与领域理论之间的类比的新颖观点。SNCSE用于解决两个现实问题。将其有效性与传统评估者的有效性进行了比较。结果表明，与替代评估者相比，将犯罪倾向整合到网络分析中可以使关键嫌疑人的识别更加准确。