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How to Achieve the Crime Busting by Modeling in Social Network
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In this paper,the problem of how to distinguish the criminals and their crime relations in the complex social network are studied.Each crime is scored as one assignment in the network based on centrality analysis model as well as the gradual Fuzzy cluster analysis model.The assignment plays an important role in discerning the criminal.The centrality analysis model is the basic one in the two models.In this model,the action of each dot is measured by centrality.In general,the dot whose point centrality and betweenness centrality are bigger and closeness centrality issmaller took the necessary part in the network..According to the evaluation of the possibility of suspicion in the 83 dots by centrality,part of the results are as following:Crysta,Seeni,Gretchen,Marion,Gretchen,Quan, Elsie,Kristine, Dolores and Marcia.Moreover,Fuzzy cluster analysis model is used in order to acquire the better consequences.The smallest square of the distance with weight for the sake of the best classification is found.Combining the basic model with soften matrix,the result of requrement Ⅰ is:Crystal,seeni,Gretchen,Kristine,Dolores,Sherri,Jerome,Eric,Julia,Hazel,Christina,Douglas.The result of requirement Ⅱ is:Crystal,seeni,Gretchen,Kristine,Dolores,Sherfi,Jerome,Eric,Julia,Hazel,Christina,Douglas.The answer demonstrates that the criminals are effectively distinguished and this method is reliable.Hopefully this model can be used in the problem of network analysis on biology,analysis of literature,psychology and economics.
Social Networkcentralitycentrality analysis modelgradual Fuzzy cluster analysis model
NETL
NSTL
万方数据
