作者: Paolo Federico , Wolfgang Aigner , Silvia Miksch , Florian Windhager , Lukas Zenk
关键词: Information visualization 、 Social network analysis 、 Dynamic network analysis 、 Interactive visual analysis 、 Node (networking) 、 Computer science 、 Graph drawing 、 Data mining 、 Visualization 、 Visual 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.