LEADER 04148nam 22005535 450 001 9910254840903321 005 20200705115322.0 010 $a3-319-65139-0 024 7 $a10.1007/978-3-319-65139-2 035 $a(CKB)4340000000223326 035 $a(DE-He213)978-3-319-65139-2 035 $a(MiAaPQ)EBC5164434 035 $a(PPN)221254668 035 $a(EXLCZ)994340000000223326 100 $a20171128d2017 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHybrid Intelligence for Social Networks /$fedited by Hema Banati, Siddhartha Bhattacharyya, Ashish Mani, Mario Köppen 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XIV, 327 p. 142 illus., 105 illus. in color.) 311 $a3-319-65138-2 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aSocial Networks: Fundamentals and Applications -- MapReduce-Based K-FA Algorithm for Detecting Communities in Social Networks -- Group Search Optimization Strategy for Community Detection in Complex Networks -- Strategizing Information Dissemination in Real-Life Networks -- Nature-Inspired Heuristics Approach to Partitioning Complex Interaction Networks -- ROGO: Recommendations on the Go for Travel Tweeters -- Analysing Social Interaction Networks: Improving Teaching Learning Pedagogies -- Adapting Trustworthy Social Web Environments for the Cloud -- Enhanced Black-Hole Algorithm for Viral Marketing -- Comparative Analysis of Network Visualization Tools -- Enacting a Prioritized Health Awareness Campaign for Social Web Users -- Identifying Clusters in Complex Dynamic Social Networks Using Evolutionary Algorithms -- Using Intuitionistic Fuzzy Sets to Prioritize Relationships Among Facebook Users -- A Predictive Approach to Ranking Academic Articles. . 330 $aThis book explains aspects of social networks, varying from development and application of new artificial intelligence and computational intelligence techniques for social networks to understanding the impact of social networks. Chapters 1 and 2 deal with the basic strategies towards social networks such as mining text from such networks and applying social network metrics using a hybrid approach; Chaps. 3 to 8 focus on the prime research areas in social networks: community detection, influence maximization and opinion mining. Chapter 9 to 13 concentrate on studying the impact and use of social networks in society, primarily in education, commerce, and crowd sourcing.  The contributions provide a multidimensional approach, and the book will serve graduate students and researchers as a reference in computer science, electronics engineering, communications, and information technology. . 606 $aArtificial intelligence 606 $aComputational intelligence 606 $aApplication software 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aComputer Appl. in Social and Behavioral Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/I23028 615 0$aArtificial intelligence. 615 0$aComputational intelligence. 615 0$aApplication software. 615 14$aArtificial Intelligence. 615 24$aComputational Intelligence. 615 24$aComputer Appl. in Social and Behavioral Sciences. 676 $a006.3 702 $aBanati$b Hema$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBhattacharyya$b Siddhartha$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMani$b Ashish$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKöppen$b Mario$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910254840903321 996 $aHybrid Intelligence for Social Networks$92507972 997 $aUNINA