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OWA-Based Fuzzy m-ary Adjacency Relations in Social Network Analysis

Matteo Brunelli, Mario Fedrizzi, Michele Fedrizzi, OWA-Based Fuzzy m-ary Adjacency Relations in Social Network Analysis. In: Ronald Yager, Janusz Kacprzyk, Gleb Beliakov (Eds.), Recent Developments in the Ordered Weighted Averaging Operators: Theory and Practice, 255-267, Springer-Verlag, 2011.

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 starting from the traditional two–dimensional case 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 appealing tools in characterizing such relations.

BibTeX entry:

@INBOOK{cBrFeFe11a,
  title = {OWA-Based Fuzzy m-ary Adjacency Relations in Social Network Analysis},
  booktitle = {Recent Developments in the Ordered Weighted Averaging Operators: Theory and Practice},
  author = {Brunelli, Matteo and Fedrizzi, Mario and Fedrizzi, Michele},
  editor = {Yager, Ronald and Kacprzyk, Janusz and Beliakov, Gleb},
  publisher = {Springer-Verlag},
  pages = {255-267},
  year = {2011},
}

Belongs to TUCS Research Unit(s): Institute for Advanced Management Systems Research (IAMSR)

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