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Complex network tools to enable identification of a criminal community

Pritheega, M. (2016) Complex network tools to enable identification of a criminal community. Bulletin of the Australian Mathematical Society, 94 (2). pp. 350-352. ISSN 0004-9727

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Retrieving criminal ties and mining evidence from an organised crime incident, for example money laundering, has been a difficult task for crime investigators due to the involvement of different groups of people and their complex relationships. Extracting the criminal associations from enormous amounts of raw data and representing them explicitly is tedious and time consuming [1, 6, 13]. A study of the complex network literature reveals that graph-based detection methods have not, as yet, been used for money laundering detection. In this research, I explore the use of complex network analysis to identify the communication associations of money laundering criminals, that is, the important people who communicate between known criminals and the reliance of the known criminals on the other individuals in a communication path.

Item Type:Article
Uncontrolled Keywords:criminal network, intermediate node
Subjects:H Social Sciences > HV Social pathology. Social and public welfare
Divisions:Advanced Informatics School
ID Code:71769
Deposited By: Widya Wahid
Deposited On:15 Nov 2017 01:46
Last Modified:15 Nov 2017 01:46

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