Analyzing and visualizing criminal network dynamics: A case study

Jennifer Xu, Byron Marshall, Siddharth Kaza, Hsinchun Chen

Research output: Contribution to journalArticle

28 Citations (Scopus)

Abstract

Dynamic criminal network analysis is important for national security but also very challenging. However, little research has been done in this area. In this paper we propose to use several descriptive measures from social network analysis research to help detect and describe changes in criminal organizations. These measures include centrality for individuals, and density, cohesion, and stability for groups. We also employ visualization and animation methods to present the evolution process of criminal networks. We conducted a field study with several domain experts to validate our findings from the analysis of the dynamics of a narcotics network. The feedback from our domain experts showed that our approaches and the prototype system could be very helpful for capturing the dynamics of criminal organizations and assisting crime investigation and criminal prosecution.

Original languageEnglish (US)
Pages (from-to)359-377
Number of pages19
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3073
StatePublished - 2004

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Network Dynamics
Electric network analysis
Social Network Analysis
Field Study
Cohesion
Centrality
Dynamic Networks
Network Analysis
Animation
Dynamic Analysis
Visualization
National security
Crime
Narcotics
Organizations
Security Measures
Prototype
Research
Social Support
Feedback

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

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