000 03464nam a22005055i 4500
001 978-3-319-05164-2
003 DE-He213
005 20200420220227.0
007 cr nn 008mamaa
008 140304s2014 gw | s |||| 0|eng d
020 _a9783319051642
_9978-3-319-05164-2
024 7 _a10.1007/978-3-319-05164-2
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aSocial Networking
_h[electronic resource] :
_bMining, Visualization, and Security /
_cedited by Mrutyunjaya Panda, Satchidananda Dehuri, Gi-Nam Wang.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXXII, 297 p. 63 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aIntelligent Systems Reference Library,
_x1868-4394 ;
_v65
505 0 _aDiffusion of Information in Social Networks -- Structure and Evolution of Online Social Networks -- Machine Learning for Auspicious Social Network Mining -- Testing Community Detection Algorithms: A Closer Look at Datasets -- Societal Networks: The networks of Dynamics of Interpersonal Associations -- Methods of tracking online community in social network -- Social Network Analysis Approach for Studying Caste, Class and Social Support in Rural Jharkhand and West Bengal: An Empirical Attempt -- Evaluating the Propagation Strength of Malicious Metaphor in Social Network: Flow Through Inspiring Influence of Members -- Social Network Analysis: A methodology for studying Terrorism -- Privacy and Anonymization in Social Networks -- On the use of Brokerage Approach to discover Influencing Nodes in Terrorist Networks.
520 _aWith the proliferation of social media and on-line communities in networked world a large gamut of data has been collected and stored in databases. The rate at which such data is stored is growing at a phenomenal rate and pushing the classical methods of data analysis to their limits. This book presents an integrated framework of recent empirical and theoretical research on social network analysis based on a wide range of techniques from various disciplines like data mining, social sciences, mathematics, statistics, physics, network science, machine learning with visualization techniques, and security. The book illustrates the potential of multi-disciplinary techniques in various real life problems and intends to motivate researchers in social network analysis to design more effective tools by integrating swarm intelligence and data mining.  .
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aComputational intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aInformation Systems Applications (incl. Internet).
700 1 _aPanda, Mrutyunjaya.
_eeditor.
700 1 _aDehuri, Satchidananda.
_eeditor.
700 1 _aWang, Gi-Nam.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319051635
830 0 _aIntelligent Systems Reference Library,
_x1868-4394 ;
_v65
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-05164-2
912 _aZDB-2-ENG
942 _cEBK
999 _c52302
_d52302