Multivariate Network Visualization | Dagstuhl Seminar # 13201, Dagstuhl Castle, Germany, May 12-17, 2013, Revised Discussions

Andreas Kerren (u. a.)

ISBN 10: 3319067923 / ISBN 13: 9783319067926

Verlag: Springer, 2014

Beschreibung

Multivariate Network Visualization | Dagstuhl Seminar # 13201, Dagstuhl Castle, Germany, May 12-17, 2013, Revised Discussions | Andreas Kerren (u. a.) | Taschenbuch | xvi | Englisch | 2014 | Springer | EAN 9783319067926 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Bestandsnummer des Verkäufers 105335635

Bibliografische Details

• Titel: Multivariate Network Visualization | Dagstuhl Seminar # 13201, Dagstuhl Castle, Germany, May 12-17, 2013, Revised Discussions
• Verlag: Springer
• Erscheinungsjahr: 2014
• Sprache: Englisch
• ISBN-10: 3319067923
• ISBN-13: 9783319067926
• Einband: Taschenbuch
• Zustand: Neu
• Abmessungen: 235B x 155 H x 15 T Millimeter Breite: 235 mm, Höhe: 155 mm, Tiefe: 15 mm
• Gewicht: 394 Gramm
• Verkäuferkataloge:
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Inhaltsangabe

This 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.