| Summary: | 碩士 === 國立高雄科技大學 === 資訊管理系 === 107 === Criminal patterns innovate continuously over time. Organized crime includes drug trafficking groups, tightly regulated fraud groups, and violent gathering gang organizations. Crime organization is a concept of a small society networking. In a network system, crimes work in cooperation but play different roles. This study focuses on criminal networking, which derives from groups and individuals within a crime organization. The Social Network Analysis is used to deal with a large complicated network system, such as international organized crime. Therefore, we applied the Social Networking Analysis method to explore the Betweenness Centrality, Closeness Centrality, and Eigenvector Centrality in the key personnel in crime organization, in order to identify the vital node within crime networking.
We created a crime-networking model based on the Zhi-Ping gang case study in 2013, the fraud group case study in 2014, and the drug trafficking group case study in 2013. Building the model required combining analysis between different levels, attributes, and relations in order to grasp crime structural characters, including nodes, relations, links, groups, and the whole network to investigate international crime. the results showed that it efficiently reduced the investigation area and found out the investigating information. This study also shows the potential of Social Network Analysis in the investigation of organized crime.
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