Multivariate network visualization : Dagstuhl Seminar #13201, Dagstuhl Castle, Germany, May 12-17, 2013 : revised discussions / Andreas Kerren, Helen C. Purchase, Matthew O. Ward (eds.).
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...
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| Other Authors: | , , |
| Format: | Ebook |
| Language: | English |
| Published: |
Cham :
Springer,
[2014]
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| Series: | Lecture notes in computer science ;
8380. Lecture notes in computer science. State-of-the-art survey. LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI |
| Subjects: | |
| Online Access: | Springer eBooks |
| Summary: | 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. |
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| Physical Description: | 1 online resource (xv, 237 pages) : illustrations (some colour). |
| Bibliography: | Includes bibliographical references and index. |
| ISSN: | 0302-9743 ; |