Interaction coherence analysis for dark web forums

Tianjun Fu, Ahmed Abbasi, Hsinchun Chen

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

1 Scopus citations


Interaction coherence analysis (ICA) attempts to accurately identify and construct interaction networks by using various features and techniques. It is useful to identify user roles, user's social and information value, as well as the social network structure of Dark Web communities. In this study, we applied interaction coherence analysis for Dark Web forums using the Hybrid Interaction Coherence (HIC) algorithm. Our algorithm utilizes both system features such as header information and quotations, and linguistic features such as direct address and lexical relation. Furthermore, several similarity-based methods, for example Vector Space Model, Dice equation, and sliding window, are used to address various types of noises. Two experiments have been conducted to compare our HIC algorithm with traditional linkage-based method, similarity-based method, and a simplified HIC method that does not address noise issues. The results demonstrate the effectiveness of our HIC algorithm for identifying interactions in Dark Web forums.

Original languageEnglish (US)
Title of host publicationISI 2007
Subtitle of host publication2007 IEEE Intelligence and Security Informatics
Number of pages8
StatePublished - 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


OtherISI 2007: 2007 IEEE Intelligence and Security Informatics
Country/TerritoryUnited States
CityNew Brunswick, NJ


  • Dark web forums
  • Interaction coherence
  • Noise

ASJC Scopus subject areas

  • Computer Science(all)
  • Control and Systems Engineering


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