000 03500nam a22004575i 4500
001 978-3-319-02993-1
003 DE-He213
005 20140220082512.0
007 cr nn 008mamaa
008 131209s2014 gw | s |||| 0|eng d
020 _a9783319029931
_9978-3-319-02993-1
024 7 _a10.1007/978-3-319-02993-1
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aPedrycz, Witold.
_eeditor.
245 1 0 _aSocial Networks: A Framework of Computational Intelligence
_h[electronic resource] /
_cedited by Witold Pedrycz, Shyi-Ming Chen.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXI, 440 p. 168 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v526
505 0 _aFrom the Contents: Detecting Community Structures in Networks Using A Linear-Programming Based Approach -- Personalization of Social Networks: Adaptive Semantic Layer Approach -- Social Network and Formal Concept Analysis -- Explaining Variation in State Involvement in Cyber Attacks: A Social Network Approach.
520 _aThis volume provides the audience with an updated, in-depth and highly coherent material on the conceptually appealing and practically sound information technology of Computational Intelligence applied to the analysis, synthesis and evaluation of social networks. The volume involves studies devoted to key issues of social networks including community structure detection in networks, online social networks, knowledge growth and evaluation, and diversity of collaboration mechanisms.  The book engages a wealth of methods of Computational Intelligence along with well-known techniques of linear programming, Formal Concept Analysis, machine learning, and agent modeling.  Human-centricity is of paramount relevance and this facet manifests in many ways including personalized semantics, trust metric, and personal knowledge management; just to highlight a few of these aspects. The contributors to this volume report on various essential applications including cyber attacks detection, building enterprise social networks, business intelligence and forming collaboration schemes. Given the subject area, this book is aimed at a broad audience of researchers and practitioners. Owing to the nature of the material being covered and a way it is organized, the volume will appeal to the well-established communities including those active in various disciplines in which social networks, their analysis and optimization are of genuine relevance. Those involved in operations research, management, various branches of engineering, and economics will benefit from the exposure to the subject matter. 
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aChen, Shyi-Ming.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319029924
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v526
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-02993-1
912 _aZDB-2-ENG
999 _c92944
_d92944