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Toward an interoperable dynamic network analysis toolkit
Authors:Kathleen M.    Jana    Jeffrey   Maksim
Affiliation:aCarnegie Mellon University, United States
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.
Keywords:Interoperability   Social network analysis software   Dynamic network analysis   Meta-matrix model   Integrated CASOS toolset   Link analysis   Counter-terrorism
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