LEADER 04469nam 22007215 450 001 9910298995103321 005 20200701121302.0 010 $a3-319-13590-2 024 7 $a10.1007/978-3-319-13590-8 035 $a(CKB)3710000000337895 035 $a(EBL)1968445 035 $a(OCoLC)907559094 035 $a(SSID)ssj0001424553 035 $a(PQKBManifestationID)11766585 035 $a(PQKBTitleCode)TC0001424553 035 $a(PQKBWorkID)11369021 035 $a(PQKB)10247854 035 $a(MiAaPQ)EBC1968445 035 $a(DE-He213)978-3-319-13590-8 035 $a(PPN)183521501 035 $a(EXLCZ)993710000000337895 100 $a20150114d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aOnline Social Media Analysis and Visualization /$fedited by Jalal Kawash 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (243 p.) 225 1 $aLecture Notes in Social Networks,$x2190-5428 300 $aDescription based upon print version of record. 311 $a3-319-13589-9 320 $aIncludes bibliographical references and index. 327 $aIdentifying Event-Specific Sources from Social Media -- Demographic and Psychographic Estimation of Twitter Users Using Social Structures -- Say It with Colors: Language-Independent Gender Classification on Twitter -- TUCAN: Twitter User Centric Analyzer -- Evaluating Important Factors and Effective Models for Twitter Trend Prediction -- Rings: a Visualization Mechanism to Enhance the User Awareness on Social Networks -- Friends and Circles ? A Design Study for Contact Management in Egocentric Online Social Networks -- Genetically Optimized Realistic Social Network Topology Inspired by Facebook -- A Workbench for Visual Design of Executable and Re-usable Network Analysis Workflows -- On the Usage of Network Visualization for Multiagent System Verification. 330 $aThis edited volume addresses the vast challenges of adapting Online Social Media (OSM) to developing research methods and applications. The topics cover generating realistic social network topologies, awareness of user activities, topic and trend generation, estimation of user attributes from their social content, behavior detection, mining social content for common trends, identifying and ranking social content sources, building friend-comprehension tools, and many others. Each of the ten chapters tackle one or more of these issues by proposing new analysis methods or new visualization techniques, or both, for famous OSM applications such as Twitter and Facebook. This collection of contributed chapters address these challenges. Online Social Media has become part of the daily lives of hundreds of millions of users generating an immense amount of 'social content'. Addressing the challenges that stem from this wide adaptation of OSM is what makes this book a valuable contribution to the field of social networks. 410 0$aLecture Notes in Social Networks,$x2190-5428 606 $aApplication software 606 $aStatistics  606 $aPhysics 606 $aData mining 606 $aComputer Appl. in Social and Behavioral Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/I23028 606 $aStatistics for Social Sciences, Humanities, Law$3https://scigraph.springernature.com/ontologies/product-market-codes/S17040 606 $aApplications of Graph Theory and Complex Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/P33010 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 615 0$aApplication software. 615 0$aStatistics . 615 0$aPhysics. 615 0$aData mining. 615 14$aComputer Appl. in Social and Behavioral Sciences. 615 24$aStatistics for Social Sciences, Humanities, Law. 615 24$aApplications of Graph Theory and Complex Networks. 615 24$aData Mining and Knowledge Discovery. 676 $a004 676 $a006.312 676 $a519.5 676 $a621 702 $aKawash$b Jalal$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910298995103321 996 $aOnline Social Media Analysis and Visualization$91918842 997 $aUNINA