DocumentCode :
2575123
Title :
Social Network Analysis in Multiple Social Networks Data for Criminal Group Discovery
Author :
Shang, Xufeng ; Yuan, Yubo
Author_Institution :
Dept. of Inf. & Math. Sci., China Jiliang Univ., Hangzhou, China
fYear :
2012
fDate :
10-12 Oct. 2012
Firstpage :
27
Lastpage :
30
Abstract :
A criminal network is a kind of social networks with both secrecy and efficiency. The hidden knowledge in criminal networks can be regarded as an important indicators for criminal investigations which can help finding the criminal´s relationship and identifying suspects. However such criminal network analysis has not been studied well in an applied way and remains primarily a manual process. To assist investigators to find criminals relationship, criminal leader, and identify suspicious guys of a conspiracy, we built a comprehensive indicator model using methods developed in the field of Social Network Analysis (SNA). A simulation is done on a large office from open source reports and the ranked list with respect to comprehensive indicator indicates that we provide a reasonable ranking based on the proposed model.
Keywords :
network theory (graphs); police data processing; public domain software; social networking (online); SNA; comprehensive indicator model; conspiracies; criminal group discovery; criminal investigations; criminal leader; criminal network analysis; criminal relationship; open source model; social network data analysis; suspect identification; Analytical models; Data mining; Educational institutions; Knowledge engineering; Manuals; Organizations; Social network services; Comprehensive Indicator Model; Criminal Network; Social Network Analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2012 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4673-2624-7
Type :
conf
DOI :
10.1109/CyberC.2012.14
Filename :
6384940
Link To Document :
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