Modeling for Crime Busting

Da-wei Sun (), Xia-yang Zheng, Zi-jun Chen and Hong-min Wang
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Da-wei Sun: North China Electricity Power University
Xia-yang Zheng: North China Electricity Power University
Zi-jun Chen: North China Electricity Power University
Hong-min Wang: North China Electricity Power University

Chapter Chapter 159 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 1507-1518 from Springer

Abstract: Abstract The paper models for identifying people in a 83-workers-company who are the most likely conspirators. The train of thought is that: (1) get a priority list for valuing the suspicious degree of the workers, (2) get a line separating conspirators from nonconspirators, (3) get the leader of the conspiracy. The paper first sets different values of suspicious degree for messages with various features in order to value the suspicious degree of everybody. Secondly, we optimizes the primary figure by using a formula based on weighted average method. Thirdly, we worked through each individual on the better priority list from both ends. Then, the paper used some methods of semantic analysis to better distinguish possible conspirators from the others and finally got the priority list. Next, the discriminate line is determined by using probability theory and clustering analysis theory. At last, get the leaders by the priority list and discriminate line.

Keywords: Mathematic model; Crime busting; Social network; Text analysis (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-38391-5_159

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DOI: 10.1007/978-3-642-38391-5_159

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