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Social Group Identification and Clustering
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SYSNO ASEP 0328067 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Social Group Identification and Clustering Title Výpočetní aspekty sociálních sítí Author(s) Húsek, Dušan (UIVT-O) RID, SAI, ORCID
Řezanková, H. (CZ)
Dvorský, J. (CZ)Source Title Computational Aspects of Social Networks. - Los Alamitos : IEEE Computer Society, 2009 / Abraham A. ; Snášel V. ; Wegrzyn-Wolska K. - ISBN 978-0-7695-3740-5 Pages s. 73-79 Number of pages 7 s. Action CASoN 2009. International Conference on Computational Aspects of Social Networks Event date 24.07.2009-27.07.2009 VEvent location Fontainbleu Country FR - France Event type WRD Language eng - English Country US - United States Keywords social group identification ; cluster analysis ; Boolean factor analysis ; cluster number determination Subject RIV BB - Applied Statistics, Operational Research R&D Projects GA205/09/1079 GA ČR - Czech Science Foundation (CSF) CEZ AV0Z10300504 - UIVT-O (2005-2011) UT WOS 000275189500010 EID SCOPUS 70449553469 DOI 10.1109/CASoN.2009.12 Annotation Some methods for object group identification applicable for social group identification are compared. We suppose that people are characterized by their actions, for example the deputies are characterized by their voting habits. We are interested in binary data analysis (e.g. the result of voting is yes or not). The dataset consisting of the roll-call votes records in the Russian parliament in 2004 was analyzed. Methods of hierarchical and fuzzy clustering, and Boolean factor analysis are applied. In the first case, we propose two-step analysis in which factor loadings (as result of factor analysis of objects) obtained in the first step are interpreted by cluster analysis in the second step. For the cluster number determination both traditional and modified coefficients are used. Further, we suggest using Hopfield-like neural network based Boolean factor analysis for this purpose. This proposed method gives the best results in the case of deputies grouping. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2010
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