A visual analytics approach to dynamic social networks

作者: Paolo Federico , Wolfgang Aigner , Silvia Miksch , Florian Windhager , Lukas Zenk

DOI: 10.1145/2024288.2024344

关键词: Information visualizationSocial network analysisDynamic network analysisInteractive visual analysisNode (networking)Computer scienceGraph drawingData miningVisualizationVisual analytics

摘要: The visualization and analysis of dynamic networks have become increasingly important in several fields, for instance sociology or economics. multi-relational nature this data poses the challenge understanding both its topological structure how it changes over time. In paper we propose a visual analytics approach analyzing that integrates: layout with user-controlled trade-off between stability consistency; three temporal views based on different combinations node-link diagrams (layer superimposition, layer juxtaposition, two-and-a-half-dimensional view); social network metrics; specific interaction techniques tracking node trajectories connectivity This integration visual, interactive, automatic methods supports multi-faceted dynamically changing networks.

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