000 03500nam a22005415i 4500
001 978-3-319-12188-8
003 DE-He213
005 20200421112230.0
007 cr nn 008mamaa
008 150113s2014 gw | s |||| 0|eng d
020 _a9783319121888
_9978-3-319-12188-8
024 7 _a10.1007/978-3-319-12188-8
_2doi
050 4 _aQA76.9.D343
072 7 _aUNF
_2bicssc
072 7 _aUYQE
_2bicssc
072 7 _aCOM021030
_2bisacsh
082 0 4 _a006.312
_223
245 1 0 _aSocial Network Analysis - Community Detection and Evolution
_h[electronic resource] /
_cedited by Rokia Missaoui, Idrissa Sarr.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXVIII, 272 p. 108 illus., 102 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Social Networks,
_x2190-5428
505 0 _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.
520 _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.
650 0 _aComputer science.
650 0 _aData mining.
650 0 _aMathematics.
650 0 _aSocial sciences.
650 0 _aPhysics.
650 1 4 _aComputer Science.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aMethodology of the Social Sciences.
650 2 4 _aMathematics in the Humanities and Social Sciences.
650 2 4 _aComplex Networks.
700 1 _aMissaoui, Rokia.
_eeditor.
700 1 _aSarr, Idrissa.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319121871
830 0 _aLecture Notes in Social Networks,
_x2190-5428
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-12188-8
912 _aZDB-2-SCS
942 _cEBK
999 _c57953
_d57953