Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2020, Issue 4, Pages 14–20
DOI: https://doi.org/10.14357/20718594200402
(Mi iipr148)
 

Data mining

Study of the social network communities by means of formal concept analysis

K. I. Pakhomova, A. L. Belova

Siberian Federal University, Krasnoyarsk
Abstract: Nowadays, formal concept analysis (FCA) is an effective tool for data analysis. The mathematical foundation of FCA [2] is based on the applied theory of algebraic lattices. The advantages of this approach are not only the interpretation of data in the form of solutions of formula but also the visualization of the results represented by (Hasse) diagrams. The universality of the method allows its usage for the solution of various tasks. In this paper we describe an approach to constructing a lattice based on data obtained from posts communities of social networks. This approach will allow scientists to analyze the topics of publications of social network communities, in addition, to identify patterns between the sets of post communities and keywords attributed to them.
Keywords: artificial intelligence, formal concept analysis, algebraic lattice, semantic analysis, word frequency.
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: K. I. Pakhomova, A. L. Belova, “Study of the social network communities by means of formal concept analysis”, Artificial Intelligence and Decision Making, 2020, no. 4, 14–20
Citation in format AMSBIB
\Bibitem{PakBel20}
\by K.~I.~Pakhomova, A.~L.~Belova
\paper Study of the social network communities by means of formal concept analysis
\jour Artificial Intelligence and Decision Making
\yr 2020
\issue 4
\pages 14--20
\mathnet{http://mi.mathnet.ru/iipr148}
\crossref{https://doi.org/10.14357/20718594200402}
\elib{https://elibrary.ru/item.asp?id=44408557}
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  • https://www.mathnet.ru/eng/iipr/y2020/i4/p14
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    Artificial Intelligence and Decision Making
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