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001 978-3-319-19003-7
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020 _a9783319190037
_9978-3-319-19003-7
024 7 _a10.1007/978-3-319-19003-7
_2doi
050 4 _aQA76.9.D343
072 7 _aUNF
_2bicssc
072 7 _aUYQE
_2bicssc
072 7 _aCOM021030
_2bisacsh
082 0 4 _a006.312
_223
245 1 0 _aApplications of Social Media and Social Network Analysis
_h[electronic resource] /
_cedited by Przemys�aw Kazienko, Nitesh Chawla.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXIII, 240 p. 123 illus., 37 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 _aA Node-Centric Reputation Computation Algorithm on Online Social Networks -- Measuring Centralities for Transportation Networks Beyond Structures -- Indifferent Attachment: The Role of Degree in Ranking Friends -- Analyzing the Social Networks of Contributors in Open Source Software Community -- Precise Modeling Rumor Propagation and Control Strategy on Social Networks -- Studying Graph Dynamics Through Intrinsic Time Based Diffusion Analysis -- A Learning Based Approach for Real-time Emotion Classification of Tweets -- A New Linguistic Approach to Assess the Opinion of Users in Social Network Environments -- Visual Analysis of Topical Evolution in Unstructured Text: Design and Evaluation of TopicFlow -- Explaining Scientic and Technical Emergence Forecasting -- Combining Social, Audiovisual and Experiment Content for Enhanced Cultural Experiences -- Social Network Analysis for Biometric Template Protection.
520 _aThis collection of contributed chapters demonstrates a wide range of applications within two overlapping research domains: social media analysis and social network analysis. Various methodologies were utilized in the twelve individual chapters including static, dynamic and real-time approaches to graph, textual and multimedia data analysis. The topics apply to reputation computation, emotion detection, topic evolution, rumor propagation, evaluation of textual opinions, friend ranking, analysis of public transportation networks, diffusion in dynamic networks, analysis of contributors to communities of open source software developers, biometric template generation as well as analysis of user behavior within heterogeneous environments of cultural educational centers. Addressing these challenging applications is what makes this edited volume of interest to researchers and students focused on social media and social network analysis.
650 0 _aComputer science.
650 0 _aData mining.
650 0 _aApplication software.
650 0 _aPhysics.
650 1 4 _aComputer Science.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aComplex Networks.
650 2 4 _aComputer Appl. in Social and Behavioral Sciences.
700 1 _aKazienko, Przemys�aw.
_eeditor.
700 1 _aChawla, Nitesh.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319190020
830 0 _aLecture Notes in Social Networks,
_x2190-5428
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-19003-7
912 _aZDB-2-SCS
942 _cEBK
999 _c55236
_d55236