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A Fuzzy Approach to Social Network Analysis

Matteo Brunelli, Michele Fedrizzi, A Fuzzy Approach to Social Network Analysis. In: Nasrullah Memon, Reda Alhajj (Eds.), ASONAM 2009. International Conference on Advances in Social Network Analysis and Mining, 225-230, IEEE computer society, 2009.

Abstract:

Adjacency relations for social network analysis have usually been tackled in their bidimensional form, in the sense that relations are computed over pairs of objects. Nevertheless, this paper considers the bidimensional case as restrictive and it proposes an approach where the dimension of the analysis is not limited to binary relations. With the aid of fuzzy logic and OWA operators, it is showed that the interpretation of m-ary adjacency relations is the same of binary relations and therefore they can consistently be employed in social network analysis and some novel results be derived. Besides justifying the use of m-ary relations, the paper proposes a way to characterize them and, eventually, it will provide the reader with an example section.

BibTeX entry:

@INPROCEEDINGS{inpBrFe09a,
  title = {A Fuzzy Approach to Social Network Analysis},
  booktitle = {ASONAM 2009. International Conference on Advances in Social Network Analysis and Mining},
  author = {Brunelli, Matteo and Fedrizzi, Michele},
  editor = {Memon, Nasrullah and Alhajj, Reda},
  publisher = {IEEE computer society},
  pages = {225-230},
  year = {2009},
  keywords = {OWA operators, Social Network Analysis, adjacency relation, fuzzy sets theory},
}

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

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