LEADER 04450nam 22007335 450 001 9910298993503321 005 20200629210025.0 010 $a3-319-12188-X 024 7 $a10.1007/978-3-319-12188-8 035 $a(CKB)3710000000337860 035 $a(EBL)1968292 035 $a(OCoLC)908089313 035 $a(SSID)ssj0001424600 035 $a(PQKBManifestationID)11748711 035 $a(PQKBTitleCode)TC0001424600 035 $a(PQKBWorkID)11368479 035 $a(PQKB)10811185 035 $a(MiAaPQ)EBC1968292 035 $a(DE-He213)978-3-319-12188-8 035 $a(PPN)183521498 035 $a(EXLCZ)993710000000337860 100 $a20150113d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aSocial Network Analysis - Community Detection and Evolution$b[electronic resource] /$fedited by Rokia Missaoui, Idrissa Sarr 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (282 p.) 225 1 $aLecture Notes in Social Networks,$x2190-5428 300 $aDescription based upon print version of record. 311 $a3-319-12187-1 320 $aIncludes bibliographical references and index. 327 $aThe Emergence of Communities and their Leaders on Twitter Following an Extreme Event -- Hierarchical and Matrix Structures in a Large Organizational Email Network: Visualization and Modeling Approaches -- Networks of Different Perspectives for Inter-network Community Evolution -- Study of Influential Trends, Communities, and Websites on the Post-Election Events of Iranian Presidential Election in Twitter -- Entanglement in Multiplex Networks: Understanding Group Cohesion in Homophily Networks -- An Elite Grouping of Individuals for Expressing a Core Identity Based on the Temporal Dynamicity or the Semantic -- The Power of Consensus: Random Graphs Still Have No Communities -- Link Prediction in Heterogeneous Collaboration -- Characterization of User Online Dating Behavior and Preference on a Large Online Dating -- Latent Tunnel Based Information Propagation in Microblog Networks -- Maximization with Network Abstractions. 330 $aThis book is devoted to recent progress in social network analysis with a high focus on community detection and evolution. The eleven chapters cover the identification of cohesive groups, core components and key players either in static or dynamic networks of different kinds and levels of heterogeneity. Other important topics in social network analysis such as influential detection and maximization, information propagation, user behavior analysis, as well as network modeling and visualization are also presented. Many studies are validated through real social networks such as Twitter. This edited work will appeal to researchers, practitioners and students interested in the latest developments of social network analysis. 410 0$aLecture Notes in Social Networks,$x2190-5428 606 $aData mining 606 $aSocial sciences 606 $aMathematics 606 $aPhysics 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aMethodology of the Social Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/X17000 606 $aMathematics in the Humanities and Social Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/M32000 606 $aApplications of Graph Theory and Complex Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/P33010 615 0$aData mining. 615 0$aSocial sciences. 615 0$aMathematics. 615 0$aPhysics. 615 14$aData Mining and Knowledge Discovery. 615 24$aMethodology of the Social Sciences. 615 24$aMathematics in the Humanities and Social Sciences. 615 24$aApplications of Graph Theory and Complex Networks. 676 $a004 676 $a006.312 676 $a300.1 676 $a519 702 $aMissaoui$b Rokia$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSarr$b Idrissa$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910298993503321 996 $aSocial Network Analysis - Community Detection and Evolution$91992600 997 $aUNINA