LEADER 03945nam  22006135  450 
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010   $a3-319-78256-8
024 7 $a10.1007/978-3-319-78256-0
035   $a(CKB)4100000005472028
035   $a(DE-He213)978-3-319-78256-0
035   $a(MiAaPQ)EBC5485636
035   $a(EXLCZ)994100000005472028
100   $a20180803d2019      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aSocial Networks and Surveillance for Society /$fedited by Tansel Özyer, Sambit Bakshi, Reda Alhajj
205   $a1st ed. 2019.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019.
215   $a1 online resource (VII, 179 p. 45 illus. in color.) 
225 1 $aLecture Notes in Social Networks,$x2190-5428
311   $a3-319-78255-X 
327   $aChapter1. Frauds in Online Social Networks: A Review -- Chapter2. Leveraging Social Network Analysis and Cyber Forensics Approaches to Study Cyber Propaganda Campaigns -- Chapter3. Hiding Self on Facebook Sidebar Ticker, Surveillance and Privacy -- Chapter4. Identifying In uential Spreaders in Complex Networks with Probabilistic Links -- Chapter5. Decentralized Online Social Networks Architectures -- Chapter6. We Shall Not Only Survive To The Future of Social Networks -- Chapter7. A Centrality Measure for Directed Networks: m - Ranking Method -- Chapter8. Searching on Facebook Through the Lens of the Concept of Privacy -- Chapter9. Emergency Detection and Evacuation Planning Using Social Media -- Chapter10. Social Network Analysis to Combat Terrorism: 2015 Paris Attacks.
330   $aThis book focuses on recent technical advancements and state-of-the art technologies for analyzing characteristic features and probabilistic modelling of complex social networks and decentralized online network architectures. Such research results in applications related to surveillance and privacy, fraud analysis, cyber forensics, propaganda campaigns, as well as for online social networks such as Facebook. The text illustrates the benefits of using advanced social network analysis methods through application case studies based on practical test results from synthetic and real-world data. This book will appeal to researchers and students working in these areas. .
410  0$aLecture Notes in Social Networks,$x2190-5428
606   $aSocial sciences?Data processing
606   $aSocial sciences?Computer programs
606   $aData mining
606   $aSocial media
606   $aApplication software
606   $aComputational Social Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/X34000
606   $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030
606   $aSocial Media$3https://scigraph.springernature.com/ontologies/product-market-codes/412020
606   $aComputer Appl. in Social and Behavioral Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/I23028
615  0$aSocial sciences?Data processing.
615  0$aSocial sciences?Computer programs.
615  0$aData mining.
615  0$aSocial media.
615  0$aApplication software.
615 14$aComputational Social Sciences.
615 24$aData Mining and Knowledge Discovery.
615 24$aSocial Media.
615 24$aComputer Appl. in Social and Behavioral Sciences.
676   $a302.30285
702   $aÖzyer$b Tansel$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aBakshi$b Sambit$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aAlhajj$b Reda$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a9910337714103321
996   $aSocial networks and surveillance for society$91770673
997   $aUNINA