LEADER 05006nam 22006975 450 001 9910300604603321 005 20200701173000.0 010 $a3-319-90312-8 024 7 $a10.1007/978-3-319-90312-5 035 $a(CKB)4100000005471955 035 $a(DE-He213)978-3-319-90312-5 035 $a(MiAaPQ)EBC5484308 035 $a(EXLCZ)994100000005471955 100 $a20180731d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNetwork Intelligence Meets User Centered Social Media Networks /$fedited by Reda Alhajj, H. Ulrich Hoppe, Tobias Hecking, Piotr Bródka, Przemyslaw Kazienko 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (VI, 247 p. 63 illus., 54 illus. in color.) 225 1 $aLecture Notes in Social Networks,$x2190-5428 311 $a3-319-90311-X 320 $aIncludes bibliographical references and index. 327 $aData-based centrality measures -- Extracting the Main Path of historic events from Wikipedia -- Simulating trade in economic networks with TrEcSim -- Community Aliveness: Discovering interaction decay patterns in online social communities -- Network Patterns of Direct and Indirect Reciprocity in edX MOOC Forums -- Targeting influential nodes for recovery in bootstrap percolation on hyperbolic networks -- Trump versus Clinton ? Twitter communication during the US primaries -- Extended feature-driven graph model for Social Media Networks -- Market basket analysis using minimum spanning trees -- Behavior-based relevance estimation for social networks interaction relations -- Sponge walker: Community detection in large directed social networks using local structures and random walks -- Identifying promising research topics in Computer Science -- Identifying accelerators of information diffusion across social media channels -- Towards an ILP approach for learning privacy heuristics from users' regrets -- Strength of nations: A case study on estimating the influence of leading countries using social media analysis -- Incremental learning in dynamic networks for node classification. 330 $aThis edited volume presents advances in modeling and computational analysis techniques related to networks and online communities. It contains the best papers of notable scientists from the 4th European Network Intelligence Conference (ENIC 2017) that have been peer reviewed and expanded into the present format. The aim of this text is to share knowledge and experience as well as to present recent advances in the field. The book is a nice mix of basic research topics such as data-based centrality measures along with intriguing applied topics, for example, interaction decay patterns in online social communities. This book will appeal to students, professors, and researchers working in the fields of data science, computational social science, and social network analysis. . 410 0$aLecture Notes in Social Networks,$x2190-5428 606 $aSocial sciences?Data processing 606 $aSocial sciences?Computer programs 606 $aPhysics 606 $aData mining 606 $aInternet marketing 606 $aGraph theory 606 $aComputational Social Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/X34000 606 $aApplications of Graph Theory and Complex Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/P33010 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aOnline Marketing/Social Media$3https://scigraph.springernature.com/ontologies/product-market-codes/513010 606 $aGraph Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/M29020 615 0$aSocial sciences?Data processing. 615 0$aSocial sciences?Computer programs. 615 0$aPhysics. 615 0$aData mining. 615 0$aInternet marketing. 615 0$aGraph theory. 615 14$aComputational Social Sciences. 615 24$aApplications of Graph Theory and Complex Networks. 615 24$aData Mining and Knowledge Discovery. 615 24$aOnline Marketing/Social Media. 615 24$aGraph Theory. 676 $a004.60151982 702 $aAlhajj$b Reda$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHoppe$b H. Ulrich$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHecking$b Tobias$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBródka$b Piotr$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKazienko$b Przemyslaw$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910300604603321 996 $aNetwork Intelligence Meets User Centered Social Media Networks$92033421 997 $aUNINA