Formal Concept Analysis of Social Networks
Editors: Missaoui, Rokia, Kuznetsov, Sergei O., Obiedkov, Sergei (Eds.)
Free Preview- Includes an overview of key problems and methods in social network analysis and formal concept analysis
- Features practical examples of social network analysis with formal concept analysis-based techniques applied to real-life data
- Contains the latest applications of lattices for the analysis of social data
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- About this book
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The book studies the existing and potential connections between Social Network Analysis (SNA) and Formal Concept Analysis (FCA) by showing how standard SNA techniques, usually based on graph theory, can be supplemented by FCA methods, which rely on lattice theory.
The book presents contributions to the following areas: acquisition of terminological knowledge from social networks, knowledge communities, individuality computation, other types of FCA-based analysis of bipartite graphs (two-mode networks), multimodal clustering, community detection and description in one-mode and multi-mode networks, adaptation of the dual-projection approach to weighted bipartite graphs, extensions to the Kleinberg's HITS algorithm as well as attributed graph analysis.
- About the authors
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Rokia Missaoui, is a Professor at the Department of Computer Science and Engineering and the Head of LARIM, the Research Laboratory on Multimedia) at the University of Quebec in Outaouais.
Sergei Obiedkov is an Associate Professor at the Faculty of Computer Science, National Research University of Higher School of Economics, Moscow, Russia.
Sergei Kuznetsov is a Professor at the Faculty of Computer Science, National Research University of Higher School of Economics, Moscow, Russia.
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Formal Concept Analysis of Social Networks
- Editors
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- Rokia Missaoui
- Sergei O. Kuznetsov
- Sergei Obiedkov
- Series Title
- Lecture Notes in Social Networks
- Copyright
- 2017
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing AG
- eBook ISBN
- 978-3-319-64167-6
- DOI
- 10.1007/978-3-319-64167-6
- Hardcover ISBN
- 978-3-319-64166-9
- Series ISSN
- 2190-5428
- Edition Number
- 1
- Number of Pages
- XVIII, 195
- Number of Illustrations
- 19 b/w illustrations, 19 illustrations in colour
- Topics
