Application Of Social Network Analysis In Criminal Networks

With the development of computer software and hardware,it has become possible to analyze large and complex networks.At the same time,with the advent of the era of big data,there has been an increasing amount of data that can be modeled as a network,and social networks are one example of this.Social Network Analysis(SNA)is a major tool in the social sciences that abstracts social relationships using networks,and it is a method of studying the relationships and social structures between social members.Currently,it has a wide range of applications in many fields.Criminal networks are also part of social networks,where the relationships between criminals in criminal organizations are abstracted and modeled.However,there have been relatively few attempts to apply social network methods to criminal network analysis.Analyzing criminal networks can help the public security system identify influential members in criminal organizations,identify potential threats,deepen understanding of the operation mechanisms of criminal organizations,track criminal behaviors,and ultimately assist the public security systems in making decisions,optimizing resource allocation,and maintaining social security.In this paper,a specific,dynamically changing criminal network data is analyzed using commonly used methods in social network analysis to examine the structure of the criminal network and its changes at different stages.By combining the analysis results with the known information,new information is extracted from the criminal network and compared with the actual information as a basis for supporting and improving the analysis results.We discuss the auxiliary role of criminal network analysis in actual decision-making by public security system at each stage,and finally,we discuss the limitations of criminal network analysis and areas for improvement in this paper.