DocumentCode :
2054818
Title :
Node Removal in Criminal Networks
Author :
Petersen, Rasmus Rosenqvist ; Rhodes, Christopher J. ; Wiil, Uffe Kock
Author_Institution :
Counterterrorism Res. Lab., Univ. of Southern Denmark, Odense, Denmark
fYear :
2011
fDate :
12-14 Sept. 2011
Firstpage :
360
Lastpage :
365
Abstract :
A criminal network is a special kind of social network with emphasis on both secrecy and efficiency. Node removal is a well known technique for destabilization of criminal networks. Deciding which node or group of nodes to remove is dependent on available information and the topology of the criminal network (hierarchical, cellular, etc.), complicating the prediction of network changes following a node removal. The Crime Fighter Investigator tool supports a node removal approach with two perspectives: an inference-based prediction of new probable links and changes in standard social network degree centrality. We test the node removal algorithm on a criminal network aggregated from open source reports, creating hypotheses based on path distance and degree centrality changes.
Keywords :
inference mechanisms; police data processing; social networking (online); Crime Fighter Investigator tool; criminal networks; inference-based prediction; node removal; social network; Algorithm design and analysis; Current measurement; Lead; Prediction algorithms; Social network services; Terrorism; Visualization; crimefighter investigator; decision-making; inference-based prediction; node removal; social network analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligence and Security Informatics Conference (EISIC), 2011 European
Conference_Location :
Athens
Print_ISBN :
978-1-4577-1464-1
Electronic_ISBN :
978-0-7695-4406-9
Type :
conf
DOI :
10.1109/EISIC.2011.57
Filename :
6061231
Link To Document :
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