Some Simple Algorithms for Structural Comparison |
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Authors: | Email author" target="_blank">Carter?T?ButtsEmail author Kathleen?M?Carley |
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Institution: | (1) Department of Sociology and Institute for Mathematical Behavioral Sciences, University of California-Irvine, SSPA 2145, Irvine, CA, 92697;(2) Institute for Software Research International, Center for the Computational Analysis of Social and Organizational Systems, and H.J. Heinz III School of Public Policy and Management, Carnegie Mellon University, USA |
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Abstract: | Structural comparison (i.e., the simultaneous analysis of multiple structures) is a problem which arises frequently in such
diverse arenas as the study of organizational forms, social network analysis, and automated text analysis. Prior work has
demonstrated the applicability of a range of standard multivariate analysis procedures to the structural comparison problem.
Here, some simple algorithms are provided which elucidate several of these methods in an easily implemented form.
Carter T. Butts is Assistant Professor at the University of California-Irvine in the Department of Sociology, and is a member of the Institute
for Mathematical Behavioral Sciences and the California Institute for Telecommunications and Information Technology. His current
research focuses on communication during disasters, Bayesian inference for network data, network comparison, and the structure
of spatially embedded interpersonal networks.
Kathleen M. Carley is Professor at Carnegie Mellon University, with appointments in the Institute for Software Research International, the H.J.
Heinz III School of Public Policy and Management, and the Department of Engineering and Public Policy. Her research centers
around areas of social, organizational, knowledge and information networks, organizational design, change, adaptivity and
and performance, computational organization theory, crisis management, social theory, impacts on information diffusion of
changes in social policy and changes in communication technology, and mapping experts' and executives' knowledge networks
using textual analysis techniques. |
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Keywords: | multivariate methods structural comparison graph labeling algorithms |
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