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


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.


The projects are categorized into following five topics:

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


Yanhong Wu:

Yong Wang:

Qiaomu Shen:

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