Dynamic social network analysis of a dark network: Identifying significant facilitators

Siddharth Kaza, Daning Hu, Hsinchun Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations

Abstract

"Dark Networks" refer to various illegal and covert social networks like criminal and terrorist networks. These networks evolve over time with the formation and dissolution of links to survive control efforts by authorities. Previous studies have shown that the link formation process in such networks is influenced by a set of facilitators. However, there have been few empirical evaluations to determine the significant facilitators. In this study, we used dynamic social network analysis methods to examine several plausible link formation facilitators in a large-scale real-world narcotics network. Multivariate Cox regression showed that mutual acquaintance and vehicle affiliations were significant facilitators in the network under study. These findings provide insights into the link formation processes and the resilience of dark networks. They also can be used to help authorities predict co-offending in future crimes.

Original languageEnglish (US)
Title of host publicationISI 2007
Subtitle of host publication2007 IEEE Intelligence and Security Informatics
Pages40-46
Number of pages7
StatePublished - Oct 1 2007
EventISI 2007: 2007 IEEE Intelligence and Security Informatics - New Brunswick, NJ, United States
Duration: May 23 2007May 24 2007

Publication series

NameISI 2007: 2007 IEEE Intelligence and Security Informatics

Other

OtherISI 2007: 2007 IEEE Intelligence and Security Informatics
CountryUnited States
CityNew Brunswick, NJ
Period5/23/075/24/07

Keywords

  • Dark networks
  • Dynamic social network analysis
  • Intelligence and security informatics

ASJC Scopus subject areas

  • Computer Science(all)
  • Control and Systems Engineering

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    Kaza, S., Hu, D., & Chen, H. (2007). Dynamic social network analysis of a dark network: Identifying significant facilitators. In ISI 2007: 2007 IEEE Intelligence and Security Informatics (pp. 40-46). [4258671] (ISI 2007: 2007 IEEE Intelligence and Security Informatics).