Toward an interoperable dynamic network analysis toolkit

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

doi:10.1016/j.dss.2006.04.003

Toward an interoperable dynamic network analysis toolkit

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

Research output: Contribution to journal › Article › peer-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 language	English (US)
Pages (from-to)	1324-1347
Number of pages	24
Journal	Decision Support Systems
Volume	43
Issue number	4
DOIs	https://doi.org/10.1016/j.dss.2006.04.003
State	Published - Aug 2007
Externally published	Yes

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

Online availability

10.1016/j.dss.2006.04.003

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title = "Toward an interoperable dynamic network analysis toolkit",

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

author = "Carley, {Kathleen M.} and Jana Diesner and Jeffrey Reminga and Maksim Tsvetovat",

note = "This work was supported in part by the Office of Naval Research (ONR), United States Navy Grant No. N00014-02-10973 on Dynamic Network Analysis, Grant No. N00014-97-1-0037 on Adaptive Architecture, the DOD, the NSF MKIDS program, the DOD, the CIA, and the NSF IGERT program in CASOS. Additional support was provided by CASOS and ISRI at Carnegie Mellon University. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Office of Naval Research, the DOD, the National Science Foundation, or the U.S. government. We thank Dan Wood for his help with data processing and reviewing.",

year = "2007",

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doi = "10.1016/j.dss.2006.04.003",

language = "English (US)",

volume = "43",

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AU - Carley, Kathleen M.

AU - Diesner, Jana

AU - Reminga, Jeffrey

AU - Tsvetovat, Maksim

N1 - This work was supported in part by the Office of Naval Research (ONR), United States Navy Grant No. N00014-02-10973 on Dynamic Network Analysis, Grant No. N00014-97-1-0037 on Adaptive Architecture, the DOD, the NSF MKIDS program, the DOD, the CIA, and the NSF IGERT program in CASOS. Additional support was provided by CASOS and ISRI at Carnegie Mellon University. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Office of Naval Research, the DOD, the National Science Foundation, or the U.S. government. We thank Dan Wood for his help with data processing and reviewing.

PY - 2007/8

Y1 - 2007/8

N2 - 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.

AB - 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.

KW - Counter-terrorism

KW - Dynamic network analysis

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KW - Interoperability

KW - Link analysis

KW - Meta-matrix model

KW - Social network analysis software

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Toward an interoperable dynamic network analysis toolkit

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Keywords

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