Formal Concept Analysis of Social Networks

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.

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

Autorentext
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.

Inhalt
Knowledge Communities and Socio-Cognitive Taxonomies.- Individuality in Social Networks.- Descriptive Community Detection.- Multimodal Clustering for Community Detection.- Acquisition of Terminological Knowledge from Social Networks in the Description Logic MH.- Formal Concept Analysis of Attributed Networks.- A Formal Concept Analysis look at the Analysis of Affiliation Networks.