Linguistic summarization of fuzzy social and economic networks: an application on the international trade network

Genc S., AKAY D., BORAN F. E. , Yager R. R.

SOFT COMPUTING, vol.24, no.2, pp.1511-1527, 2020 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 24 Issue: 2
  • Publication Date: 2020
  • Doi Number: 10.1007/s00500-019-03982-9
  • Journal Name: SOFT COMPUTING
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Applied Science & Technology Source, Compendex, Computer & Applied Sciences, INSPEC, zbMATH
  • Page Numbers: pp.1511-1527
  • Keywords: Fuzzy sets, Social and economic networks, Linguistic summarization, Semi-fuzzy quantifiers, International trade network, TIME-SERIES, QUANTIFIERS, GENERATION, MODELS, REPRESENTATION, PREDICTION, DISCOVERY
  • Gazi University Affiliated: Yes


Although plenty of techniques such as link prediction, clustering, and position analysis have been proposed to analyze social and economic networks and patterns of social and economic relationships in various fields, few studies have addressed the transformation of social and economic network data into the knowledge in the form of linguistic summaries. In this study, we propose, for the first time in the literature, iteration, reciprocal and branching-based linguistic summary forms taking into account both the attributes (features) of social and economic actors and the relations between them. We then develop methods for evaluating the degree of truth of the suggested linguistic summary forms by leveraging generalized quantifiers, specifically semi-fuzzy and polyadic quantifiers. The advantages and applicability of the proposed linguistic summary forms are illustrated on the international trade network.