Formal Concept Analysis of Social Networks

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Missaoui, Rokia (Επιμελητής έκδοσης), Kuznetsov, Sergei O. (Επιμελητής έκδοσης), Obiedkov, Sergei (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: Lecture Notes in Social Networks,
• Θέματα: Computer science.; Database management.; Data mining.; Artificial intelligence.; Social sciences.; Computer Science.; Data Mining and Knowledge Discovery.; Artificial Intelligence (incl. Robotics).; Database Management.; Applications of Graph Theory and Complex Networks.; Methodology of the Social Sciences.

 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. 

 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.