Visual Analysis of Egocentric Network Evolution


Visualization of Ambiguity in Graph Layouts


Visualization of Bipartite Relations between Graphs and Sets


Interactive Visual Summary of Major Communities in a Large Network


1.5D Egocentric Dynamic Network Visualization


Parallel Coordinates with Data Labels


Visual Analysis of Set Relations in a Graph


Interactive Visual Analysis of Multidimensional Clusters


FacetAtlas: Multifaceted Visualization for Rich Text Corpora


Scattering Points in Parallel Coordinates


Splatting the Lines in Parallel Coordinates


Geometry-Based Edge Clustering for Graph Visualization


Visual Clustering in Parallel Coordinates


Controllable and Progressive Edge Clustering for Large Network


About

VisNexus is a series of visualization projects aiming to improve our understanding of the complex relations among data entities, which is conducted by the VisLab at Hong Kong University of Science and Technology. The HKUST VisLab is a multidisciplinary group aiming at improving the visual analysis and various visualizations.

Topics

The projects are categorized into following five topics:

  • Graph Readability
  • Dynamic Network
  • Heterogenous Network
  • Multi-dimensional Data

Contact

Yanhong Wu: yanhong.wu@ust.hk

Yong Wang: ywangct@ust.hk

Qiaomu Shen: shenqiaomu@ust.hk

Address: Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong

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