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CMU-ISR-08-130
Institute for Software Research
School of Computer Science, Carnegie Mellon University
CMU-ISR-08-130
CEMAP II: An Architecture and Specifications to
Facilitate Importing of Real-World Data into
the CASOS Software Suite
Terrill L. Frantz, Kathleen M. Carley
August 2008
Center for the Computational Analysis of
Social and Organizational Systems (CASOS) Technical Report
CMU-ISR-08-130.pdf
Keywords: Source data, social network, ORA, AutoMap,
software, DyNetMl, LOOM, spatial data, dynamic network analysis
An often overbearing logistical problem that social network researchers
and analysts face is the challenge of carrying out the basic data
processing steps necessary to transform real-world source data into a form
that is formatted specifically to the requirements of particular social
network analysis software. In particular, this paper focuses on resolving
the variety of real-world data forms that must be transformed into the
format necessities of the software suite developed at the Center for
Computational Analysis of Social and Organizational Systems (CASOS) at
Carnegie Mellon University. This data processing or programming problem,
while rather straightforward, can be daunting to non-I.T. users of these
– and any – software tools, and at best case, laboriously
costly for the programming savvy. This report outlines and describes a
software architecture and user paradigm to address this ubiquitous problem.
This report provides a basis for later detailed design and implementation
of the ideas put forth in this report which will ultimately results in
tangible features being made available and fully operational for users
of the CASOS software suite (ORA, AutoMap, and Construct).
22 pages
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