Dynamic Network Visualization

Problem

Networks have a wide application domain with a few examples being biology, chemistry, epidemiology, sociology, and software engineering. Essential tasks include, getting a meaningful overview of the networks underlying structure, identifying and understanding relationships between objects, finding and highlighting central or similar objects, and revealing outliers. Network visualization has proven to be a useful tool that provides support for the aforementioned tasks, yet most solutions do not account for the dynamic nature of the data. Real-world
data is rarely static and for most applications there is often a need for visualizing and analyzing the evolution or change of the network, detecting trends, re-occurrences, peaks, and  identifying outliers and deviations from the normal or expected behavior.

Aim

Visual Analytics techniques to :

  • detect and visualize changes in the network
  • allow for free exploration of the data in time
  • create network layouts based on the temporal characteristic of the data
  • utilize the space to encode network metrics
  • implementing a LoD (Level of Detail) aggregation for networks

Other information

 

Starting points for research:

Preferable development environments:

 

Contact

Further information

Topics
Information Visualization, Network Analysis, Time-oriented Data, User Interface Design, Visual Analytics
Previous knowledge
Previous knowledge
Good knowledge of JavaScript/TypeScript, D3, and MVC Frameworks (React, Angular, Vue, etc.)
English
Scope
SE
BA
PR
MA
Status
open