A Case Study of Crime Organization Structure Based on Social Network Method

RUI WANG, JUN-HUI GAO

Abstract


In this paper, we apply social network approach and analyze the structure of the plurality of criminal organizations, including Pyramid Selling, 911 hijacking organizations, transnational drug trafficking organizations. In the hierarchical organization of MLM, we found that two parameters of network Out2Local, in-Harmonic Closeness difference have huge difference between the different levels of nodes. For relational data of 911 hijacking organization, we use Girvan-Newman algorithm to calculate the number of modules of different societies. When the highest number of associations appears to be four, hijacked planes also happens to be four and we conducted a comparative study based on the result. For structure of cross-border drug crime organization, we summarize Huanghui Xia’s studies. Finally, from the perspective of social network approach, we investigate the efficiency and safety of different types of criminal organizations structure.


DOI
10.12783/dtem/apme2016/8794

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