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Discrete Dynamics in Nature and Society
Volume 2013 (2013), Article ID 296729, 9 pages
http://dx.doi.org/10.1155/2013/296729
Research Article

Arresting Strategy Based on Dynamic Criminal Networks Changing over Time

1Department of Mathematics, Southeast University, Nanjing, Jiangsu 210096, China
2Department of Mathematics, King Abdulaziz University, Jeddah 21589, Saudi Arabia
3New Star Institute of Applied Technology, No. 451 Huangshan Road, Hefei, Anhui 230031, China

Received 23 September 2012; Accepted 13 January 2013

Academic Editor: Xiaohui Liu

Copyright © 2013 Junqing Yuan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

We investigate a sequence of dynamic criminal networks on a time series based on the dynamic network analysis (DNA). According to the change of networks’ structure, networks’ variation trend is analyzed to forecast its future structure. Finally, an optimal arresting time and priority list are designed based on our analysis. Better results can be expected than that based on social network analysis (SNA).