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001 978-3-319-06793-3
003 DE-He213
005 20200421112231.0
007 cr nn 008mamaa
008 140415s2014 gw | s |||| 0|eng d
020 _a9783319067933
_9978-3-319-06793-3
024 7 _a10.1007/978-3-319-06793-3
_2doi
050 4 _aQA76.76.A65
072 7 _aUB
_2bicssc
072 7 _aCOM018000
_2bisacsh
082 0 4 _a004
_223
245 1 0 _aMultivariate Network Visualization
_h[electronic resource] :
_bDagstuhl Seminar #13201, Dagstuhl Castle, Germany, May 12-17, 2013, Revised Discussions /
_cedited by Andreas Kerren, Helen C. Purchase, Matthew O. Ward.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXVI, 237 p. 73 illus.
_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 Computer Science,
_x0302-9743 ;
_v8380
505 0 _aIntroduction to Multivariate Network Visualization -- Multivariate Networks in Software Engineering.- Multivariate Social Network Visual Analytics -- Multivariate Networks in the Life Sciences.- Tasks for Multivariate Network Analysis.- Interaction in the Visualization of Multivariate Networks.- Novel Visual Metaphors for Multivariate Networks.- Temporal Multivariate Networks -- Heterogeneous Networks on Multiple Levels.- Scalability Considerations for Multivariate Graph Visualization.
520 _aThis book is the outcome of the Dagstuhl Seminar 13201 on Information Visualization - Towards Multivariate Network Visualization, held in Dagstuhl Castle, Germany in May 2013. The goal of this Dagstuhl Seminar was to bring together theoreticians and practitioners from Information Visualization, HCI and Graph Drawing with a special focus on multivariate network visualization, i.e., on graphs where the nodes and/or edges have additional (multidimensional) attributes. The integration of multivariate data into complex networks and their visual analysis is one of the big challenges not only in visualization, but also in many application areas. Thus, in order to support discussions related to the visualization of real world data, also invited researchers from selected application areas, especially bioinformatics, social sciences and software engineering. The unique "Dagstuhl climate" ensured an open and undisturbed atmosphere to discuss the state-of-the-art, new directions and open challenges of multivariate network visualization.
650 0 _aComputer science.
650 0 _aAlgorithms.
650 0 _aComputer science
_xMathematics.
650 0 _aComputers.
650 0 _aData mining.
650 0 _aApplication software.
650 1 4 _aComputer Science.
650 2 4 _aComputer Applications.
650 2 4 _aDiscrete Mathematics in Computer Science.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aAlgorithm Analysis and Problem Complexity.
650 2 4 _aInformation Systems and Communication Service.
700 1 _aKerren, Andreas.
_eeditor.
700 1 _aPurchase, Helen C.
_eeditor.
700 1 _aWard, Matthew O.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319067926
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v8380
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-06793-3
912 _aZDB-2-SCS
912 _aZDB-2-LNC
942 _cEBK
999 _c57984
_d57984