Work2009

A Fuzzy Approach to Social Network Analysis

50 citations0/0 files storedIEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Fuzzy and Soft Set Theory Complex Network Analysis Techniques Advanced Algebra and Logic

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.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 50 citations exist upstream.

References

1965Fuzzy sets 1996Fuzzy sets 1988On ordered weighted averaging aggregation operators in multicriteria decisionmaking 1972A definition of a nonprobabilistic entropy in the setting of fuzzy sets theory 1997The Ordered Weighted Averaging Operators 1997The Ordered Weighted Averaging Operators: Theory and Applications 2001An analytic approach for obtaining maximal entropy OWA operator weights 2003On obtaining minimal variability OWA operator weights

Cited by

2011Fuzzy m-ary adjacency relations in social network analysis: Optimization and consensus evaluation 2016Social network analysis based approach to group decision making problem with fuzzy preference relations 2015Fuzzy-Based Techniques in Human-Like Processing of Social Network Data 2023Credibility-Supervised Dynamic Clustering and Consensus Model Involving Minority Opinions Handling in Social-Network Large-Scale Decision Making 2018When social computing meets soft computing: opportunities and insights

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.