By Andreas Kerren, Helen Purchase, Matthew O. Ward

This publication is the end result of the Dagstuhl Seminar 13201 on info Visualization - in the direction of Multivariate community Visualization, held in Dagstuhl fortress, Germany in may well 2013. The aim of this Dagstuhl Seminar used to be to collect theoreticians and practitioners from info Visualization, HCI and Graph Drawing with a different specialise in multivariate community visualization, i.e., on graphs the place the nodes and/or edges have extra (multidimensional) attributes. the mixing of multivariate information into advanced networks and their visible research is among the titanic demanding situations not just in visualization, but in addition in lots of software components. therefore, so that it will help discussions regarding the visualization of actual international facts, additionally invited researchers from chosen program components, particularly bioinformatics, social sciences and software program engineering. the original "Dagstuhl weather" ensured an open and undisturbed surroundings to debate the cutting-edge, new instructions and open demanding situations of multivariate community visualization.

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Additional resources for Multivariate Network Visualization: Dagstuhl Seminar #13201, Dagstuhl Castle, Germany, May 12-17, 2013, Revised Discussions

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Analyzing the data without the information loss induced by rule or pattern mining asks for different, more scalable, visualization techniques. 10a shows a first solution for evolution visualization [49], applied to a SVN repository. The x axis maps time. Each file is drawn as a horizontal line starting when the file was first committed in the repository. Lines are cut into chunks, one per interval between consecutive revisions. , revision author, testing results, or code quality metrics. Files can be sorted along the y axis to support several analyses.

Likelihood to last). The relationship between two social entities can be characterized in many different ways. For example, between two individuals, such a relationship can be used to describe what, how, and when such a relationship is established [59]. Besides understanding the characteristics of a relationship, there is also research on predicting the properties in particular the existence of a particular relationship between two entites [26]. 3 Understanding Social Networks Understanding a network as a whole is a complex task as it depends on the purposes of the analysis as well as the analytic technologies.

However, the sheer amount of data a typical repository stores is huge: thousands of files having tens of thousands of revisions spread over years. Repositories store additional data besides software structure and behavior, such as commit logs, change requests, time stamps, and the identity of developers who changed the software. 3 Applications 29 available per data item. One approach is to reduce the amount of information by using rule or pattern mining techniques first. It turns out that the number of mined rules or patterns is still very large and that standard visualization techniques can be applied to interactively explore these rules [7].

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