LEADER 04844nam 22006375 450 001 9910337716403321 005 20200703094627.0 010 $a3-319-94105-4 024 7 $a10.1007/978-3-319-94105-9 035 $a(CKB)4100000006674748 035 $a(MiAaPQ)EBC5518694 035 $a(DE-He213)978-3-319-94105-9 035 $a(EXLCZ)994100000006674748 100 $a20180917d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEmerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining /$fedited by Nitin Agarwal, Nima Dokoohaki, Serpil Tokdemir 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (282 pages) 225 1 $aLecture Notes in Social Networks,$x2190-5428 311 $a3-319-94104-6 327 $aChapter1: Intent Mining for the Good, Bad & Ugly Use of Social Web: Concepts, Methods, and Challenges -- Chapter2: Bot-ivistm: Assessing Information Manipulation in Social Media Using Network Analytics -- Chapter3: Studying Fake News via Network Analysis: Detection and Mitigation -- Chapter4: Predictive Analysis on Twitter: Techniques and Applications -- Chapter5: Using Subgraph Distributions for Characterizing Networks and Fitting Random Graph Models -- Chapter6: Towards Effective Assessment of Group Collaborations in OSNs -- Chapter7: Dynamics of Overlapping Community Structures with Application to Expert Identification -- Chapter8: On Dynamic Topic Models for Mining Social Media -- Chapter9: Domain Specific Use Cases for Knowledge Enabled Social Media Analysis -- Chapter10: Privacy in Human Computation: User awareness study, Implications for existing platforms, Recommendations, and Research Directions. 330 $aThe contributors in this book share, exchange, and develop new concepts, ideas, principles, and methodologies in order to advance and deepen our understanding of social networks in the new generation of Information and Communication Technologies (ICT) enabled by Web 2.0, also referred to as social media, to help policy-making. This interdisciplinary work provides a platform for researchers, practitioners, and graduate students from sociology, behavioral science, computer science, psychology, cultural studies, information systems, operations research and communication to share, exchange, learn, and develop new concepts, ideas, principles, and methodologies. Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining will be of interest to researchers, practitioners, and graduate students from the various disciplines listed above. The text facilitates the dissemination of investigations of the dynamics and structure of web based social networks. The book can be used as a reference text for advanced courses on Social Network Analysis, Sociology, Communication, Organization Theory, Cyber-anthropology, Cyber-diplomacy, and Information Technology and Justice. 410 0$aLecture Notes in Social Networks,$x2190-5428 606 $aSocial sciences?Data processing 606 $aSocial sciences?Computer programs 606 $aData mining 606 $aSociophysics 606 $aEconophysics 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 $aData-driven Science, Modeling and Theory Building$3https://scigraph.springernature.com/ontologies/product-market-codes/P33030 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$aSociophysics. 615 0$aEconophysics. 615 0$aApplication software. 615 14$aComputational Social Sciences. 615 24$aData Mining and Knowledge Discovery. 615 24$aData-driven Science, Modeling and Theory Building. 615 24$aComputer Appl. in Social and Behavioral Sciences. 676 $a158.2 702 $aAgarwal$b Nitin$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDokoohaki$b Nima$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTokdemir$b Serpil$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910337716403321 996 $aEmerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining$92518209 997 $aUNINA