An Integrated Approach to the Collection and Analysis of Network Data

نویسندگان

  • Kathleen M. Carley
  • Jana Diesner
  • Jeffrey Reminga
  • Maksim Tsvetovat
چکیده

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 both nodes and edges have attributes and there are possible errors in the data. The integrated CMU dynamic network analysis toolset described in this paper enables the coding, analysis, and visualization of such data. Herein we present these tools and illustrate there interoperability and capabilities using data collected from a series of 247 texts on a group in the Mideast. Contact: Kathleen M. Carley, Jana Diesner, Jeffrey Reminga, Maksim Tsvetovat Center for Computational Analysis of Social and Organizational Systems (CASOS) Institute for Software Research International Carnegie Mellon University School of Computer Science 5000 Forbes Avenue Pittsburgh, PA, 15213 Tel: 1-412-268-6016 (Carley) 1-412-268-5866 (Diesner, Reminga, Tsvetovat) Fax: 1-412-268-1744 Email: [email protected] [email protected] [email protected] [email protected]

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تاریخ انتشار 2004