000 | 03636nam a22005175i 4500 | ||
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001 | 978-3-319-19003-7 | ||
003 | DE-He213 | ||
005 | 20200421111705.0 | ||
007 | cr nn 008mamaa | ||
008 | 150528s2015 gw | s |||| 0|eng d | ||
020 |
_a9783319190037 _9978-3-319-19003-7 |
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024 | 7 |
_a10.1007/978-3-319-19003-7 _2doi |
|
050 | 4 | _aQA76.9.D343 | |
072 | 7 |
_aUNF _2bicssc |
|
072 | 7 |
_aUYQE _2bicssc |
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_aCOM021030 _2bisacsh |
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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. |
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300 |
_aXIII, 240 p. 123 illus., 37 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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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 |