Multivariate Network Visualization : Dagstuhl Seminar # 13201, Dagstuhl Castle, Germany, May 12-17, 2013, Revised Discussions / edited by Andreas Kerren, Helen Purchase, Matthew O. Ward.

Format:

Book

Contributor:

Kerren, Andreas, editor.

Purchase, Helen, editor.

Ward, Matthew O., editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 8380.

Information Systems and Applications, incl. Internet/Web, and HCI ; 8380

Language:

English

Subjects (All):

Application software.

Computer science--Mathematics.

Computer science.

Data mining.

Algorithms.

Computers.

Computer Applications.

Discrete Mathematics in Computer Science.

Data Mining and Knowledge Discovery.

Algorithm Analysis and Problem Complexity.

Information Systems and Communication Service.

Local Subjects:

Computer Applications.

Discrete Mathematics in Computer Science.

Data Mining and Knowledge Discovery.

Algorithm Analysis and Problem Complexity.

Information Systems and Communication Service.

Physical Description:

1 online resource (XVI, 237 pages) : 73 illustrations.

Edition:

First edition 2014.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2014.

System Details:

text file PDF

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, id est, 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.

Contents:

Introduction 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.

Other Format:

Printed edition:

ISBN:

978-3-319-06793-3

9783319067933

Access Restriction:

Restricted for use by site license.