By Andreas Kerren, Helen Purchase, Matthew O. Ward
This e-book is the result of the Dagstuhl Seminar 13201 on details Visualization - in the direction of Multivariate community Visualization, held in Dagstuhl citadel, Germany in could 2013. The aim of this Dagstuhl Seminar was once to compile theoreticians and practitioners from details Visualization, HCI and Graph Drawing with a unique specialize 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 without doubt one of the tremendous demanding situations not just in visualization, but in addition in lots of software components. hence, for you to help discussions concerning the visualization of genuine international info, additionally invited researchers from chosen program parts, specially bioinformatics, social sciences and software program engineering. the original "Dagstuhl weather" ensured an open and undisturbed surroundings to debate the state of the art, new instructions and open demanding situations of multivariate community visualization.
Read or Download Multivariate Network Visualization: Dagstuhl Seminar #13201, Dagstuhl Castle, Germany, May 12-17, 2013, Revised Discussions PDF
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Extra info for Multivariate Network Visualization: Dagstuhl Seminar #13201, Dagstuhl Castle, Germany, May 12-17, 2013, Revised Discussions
Because of the challenges, visualization is often developed to accompany the analytics technologies to help users better understand various properties of a network. 40 3 Multivariate Social Network Visual Analytics Graph-Based Analysis Many sociological research works draw on graph analytic algorithms and statistics. These analyses can range in scale from looking at small scale patterns such as dyads (pairs of entities)  or triads (groups of 3) , to centrality metrics that measure nodes’ importance to the network as a whole , and up to large scale analysis of the high-level relationships that ﬁnd and compare large groups of entities and how they interact.
This shows that, halfway the project, the main development switched between two diﬀerent persons (‘purple’ and ‘green’ developers). complexity distribution sorted files (decreasing activity) evolution time code size distribution metric navigator metric icons selected code files method average complexity a b average code size (LOC) Fig. 10. 10b shows a detailed view from a TFS repository. Only C# source code ﬁles were selected for analysis. The top widgets show the distribution of two code metrics (complexity and size) color-coded from blue to red.
A) Treemap-based layout (b) Space ﬁlling curve-based layout Fig. 3. 6 Multivariate Social Networks Sometimes, merely improving the layout algorithm is insuﬃcient for showing particular aspects of a network. Speciﬁcally, social networks can often be divided into groups according to discrete properties besides connectivity, such as gender, race, school grade, or others. However, the density of ties in most traditional node-link diagrams make it diﬃcult to distinguish in inter-group patterns from intra-group patterns, as in Fig.