Social Network and Formal Concept Analysis

Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 526)

Abstract

In this contribution we present possible using of Formal Concept Analysis, a special method of relational data analysis, in the Social Network research. Firstly, we recall basic information about the classical Ganter and Wille’s version of Formal Concept Analysis, and about our one-sided version of it. Then we give information about our experiment with a social network of students from one school class. Each pupil has characterized his/her relationships to all schoolmates by value from the given range. Then we use one-sided fuzzy Formal Concept Analysis and especially modified Rice-Siff’s algorithm to form clusters. In the end we interpret the results, i.e. interesting groups of students which are viewed by their schoolmates in a similar way, as groups of friends.

Keywords

Formal concept analysis Concept lattice Fuzzy Clustering 

Notes

Acknowledgments

This work was partly supported by grant VEGA 1/0832/12, by the Slovak Research and Development Agency under contract APVV-0035-10 “Algorithms, Automata, and Discrete Data Structures”, and by the Agency of the Slovak Ministry of Education for Structural Funds of the EU under project ITMS: 26220120007.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.UPJŠ KošiceKošiceSlovakia

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