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OWA-based fuzzy m-ary adjacency relations in Social Network Analysis

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Author Info
Matteo Brunelli
Mario Fedrizzi () (DISA, Faculty of Economics, Trento University)
Michele Fedrizzi () (DISA, Faculty of Economics, Trento University)

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Abstract

In this paper we propose an approach to Social Network Analysis (SNA) based on fuzzy m-ary adjacency relations. In particular, we show that the dimension of the analysis can naturally be increased and interesting results can be derived. Therefore, fuzzy m-ary adjacency relations can be computed starting from fuzzy binary relations and introducing OWA-based aggregations. The behavioral assumptions derived from the measure and the exam of individual propensity to connect with other suggest that OWA operators can be considered particularly suitable in characterizing such relationships.

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Publisher Info
Paper provided by Department of Computer and Management Sciences, University of Trento, Italy in its series DISA Working Papers with number 0906.

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Length: 15 pages
Date of creation: Jul 2009
Date of revision: 11 Sep 2009
Handle: RePEc:trt:disawp:0906

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Related research
Keywords: reciprocal relation; fuzzy preference relation; priority vector; normalization;

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  1. R. Luce & Albert Perry, 1949. "A method of matrix analysis of group structure," Psychometrika, Springer, vol. 14(2), pages 95-116, June. [Downloadable!] (restricted)
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This page was last updated on 2009-11-7.

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