Formal Concept Analysis of Social Networks

  • Rokia Missaoui
  • Sergei O. Kuznetsov
  • Sergei Obiedkov

Part of the Lecture Notes in Social Networks book series (LNSN)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Daniel Borchmann, Tom Hanika
    Pages 19-40
  3. Martin Atzmueller
    Pages 41-58
  4. Dmitry I. Ignatov, Alexander Semenov, Daria Komissarova, Dmitry V. Gnatyshak
    Pages 59-96
  5. Henry Soldano, Guillaume Santini, Dominique Bouthinon
    Pages 143-170
  6. Francisco J. Valverde-Albacete, Carmen Peláez-Moreno
    Pages 171-195

About this book

Introduction

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.

Keywords

community detection and evolution fca sna snafca formal concept analysis social network analysis community detection multimodal clustering concept lattices knowledge communities

Editors and affiliations

  • Rokia Missaoui
    • 1
  • Sergei O. Kuznetsov
    • 2
  • Sergei Obiedkov
    • 3
  1. 1.Department of Computer Science & EngineeringUniversity of Quebec in OutaouaisQuebecCanada
  2. 2.Faculty of Computer ScienceNational Research University Higher School of EconomicsMoscowRussia
  3. 3.Faculty of Computer ScienceNational Research University Higher School of EconomicsMoscowRussia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-64167-6
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-64166-9
  • Online ISBN 978-3-319-64167-6
  • Series Print ISSN 2190-5428
  • Series Online ISSN 2190-5436
  • About this book