LEADER 03962nam 22006975 450 001 9910254832203321 005 20200701004342.0 010 $a3-319-64167-0 024 7 $a10.1007/978-3-319-64167-6 035 $a(CKB)4100000001039690 035 $a(DE-He213)978-3-319-64167-6 035 $a(MiAaPQ)EBC5123085 035 $a(PPN)221252738 035 $a(EXLCZ)994100000001039690 100 $a20171103d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFormal Concept Analysis of Social Networks /$fedited by Rokia Missaoui, Sergei O. Kuznetsov, Sergei Obiedkov 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XVIII, 195 p. 38 illus., 19 illus. in color.) 225 1 $aLecture Notes in Social Networks,$x2190-5428 311 $a3-319-64166-2 320 $aIncludes bibliographical references at the end of each chapters. 327 $aKnowledge 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. 330 $aThe book studies the existing and potential connections between Social Network Analysis (SNA) and Formal Concept Analysis (FCA) by showing how standard SNA techniques, usually based on graph theory, can be supplemented by FCA methods, which rely on lattice theory. The book presents contributions to the following areas: acquisition of terminological knowledge from social networks, knowledge communities, individuality computation, other types of FCA-based analysis of bipartite graphs (two-mode networks), multimodal clustering, community detection and description in one-mode and multi-mode networks, adaptation of the dual-projection approach to weighted bipartite graphs, extensions to the Kleinberg's HITS algorithm as well as attributed graph analysis. 410 0$aLecture Notes in Social Networks,$x2190-5428 606 $aData mining 606 $aArtificial intelligence 606 $aDatabase management 606 $aPhysics 606 $aSocial sciences 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aApplications of Graph Theory and Complex Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/P33010 606 $aMethodology of the Social Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/X17000 615 0$aData mining. 615 0$aArtificial intelligence. 615 0$aDatabase management. 615 0$aPhysics. 615 0$aSocial sciences. 615 14$aData Mining and Knowledge Discovery. 615 24$aArtificial Intelligence. 615 24$aDatabase Management. 615 24$aApplications of Graph Theory and Complex Networks. 615 24$aMethodology of the Social Sciences. 676 $a302.30285 702 $aMissaoui$b Rokia$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKuznetsov$b Sergei O$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aObiedkov$b Sergei$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254832203321 996 $aFormal Concept Analysis of Social Networks$92538880 997 $aUNINA