Formal Concept Analysis of Social Networks

Rokia Missaoui, Sergei O. Kuznetsov, Sergei Obiedkov (Herausgeber)

Buch | Softcover

XVIII, 195 Seiten

2018 | 1. Softcover reprint of the original 1st ed. 2017
Springer International Publishing (Verlag)
978-3-319-87739-6 (ISBN)

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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.

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.

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.

Erscheint lt. Verlag	24.8.2018
Reihe/Serie	Lecture Notes in Social Networks
Zusatzinfo	XVIII, 195 p. 38 illus., 19 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	338 g
Themenwelt	Informatik ► Datenbanken ► Data Warehouse / Data Mining
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	community detection • community detection and evolution • concept lattices • FCA • formal concept analysis • Knowledge Communities • multimodal clustering • SNA • snafca • social network analysis
ISBN-10	3-319-87739-9 / 3319877399
ISBN-13	978-3-319-87739-6 / 9783319877396
Zustand	Neuware