Toward an interoperable dynamic network analysis toolkit

Kathleen M. Carley, Jana Diesner, Jeffrey Reminga, Maksim Tsvetovat

Research output: Contribution to journalArticlepeer-review

Abstract

To facilitate the analysis of real and simulated data on groups, organizations and societies, tools and measures are needed that can handle relational or network data that is multi-mode, multi-link and multi-time period in which nodes and edges have attributes with possible data errors and missing data. The integrated CASOS dynamic network analysis toolkit described in this paper is an interoperable set of scalable software tools. These tools form a toolchain that facilitate the dynamic extraction, analysis, visualization and reasoning about key actors, hidden groups, vulnerabilities and changes in such data at varying levels of fidelity. We present these tools and illustrate their capabilities using data collected from a series of 368 texts on an organizational system interfaced with covert networks in the Middle East.

Original languageEnglish (US)
Pages (from-to)1324-1347
Number of pages24
JournalDecision Support Systems
Volume43
Issue number4
DOIs
StatePublished - Aug 1 2007
Externally publishedYes

Keywords

  • Counter-terrorism
  • Dynamic network analysis
  • Integrated CASOS toolset
  • Interoperability
  • Link analysis
  • Meta-matrix model
  • Social network analysis software

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems
  • Developmental and Educational Psychology
  • Arts and Humanities (miscellaneous)
  • Information Systems and Management

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