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020 _a9783319135908
_9978-3-319-13590-8
024 7 _a10.1007/978-3-319-13590-8
_2doi
050 4 _aQA76.76.A65
072 7 _aJ
_2bicssc
072 7 _aUB
_2bicssc
072 7 _aCOM018000
_2bisacsh
072 7 _aSOC000000
_2bisacsh
082 0 4 _a004
_223
245 1 0 _aOnline Social Media Analysis and Visualization
_h[electronic resource] /
_cedited by Jalal Kawash.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXVI, 233 p. 94 illus., 76 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Social Networks,
_x2190-5428
505 0 _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.
520 _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.
650 0 _aComputer science.
650 0 _aData mining.
650 0 _aApplication software.
650 0 _aPhysics.
650 0 _aStatistics.
650 1 4 _aComputer Science.
650 2 4 _aComputer Appl. in Social and Behavioral Sciences.
650 2 4 _aStatistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
650 2 4 _aComplex Networks.
650 2 4 _aData Mining and Knowledge Discovery.
700 1 _aKawash, Jalal.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319135892
830 0 _aLecture Notes in Social Networks,
_x2190-5428
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-13590-8
912 _aZDB-2-SCS
942 _cEBK
999 _c53024
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