Research: Multi-faceted Graph Visualization

Diverse Fields of Application
  • capture social ties between persons
  • classification of websites
  • model the communication between households
  • ontology based semantic knowledge base
  • supply chain networks
Major Scientific Challenges
  • diversity regarding the facets of the graph
    • structure (nodes and edges)
    • partitions (grouping or clustering)
    • attributes (node properties or edge weights)
    • (geo)spatial context
    • temporal context
  • scalability regarding the size of the graph
    • number of nodes and edges
    • number of attributes
    • amount of time steps
  • flexibility regarding the foci on the graph
    • different characteristics of facets (linear or cyclic time)
    • different dependencies between facets (time varying structure and/or attributes)
    • different handlings of facets (clustering by node properties or similiar attribute time lines)
    • different views on facets (integrating time into structural visualization or vice versa)

Publications:

2015
2014
2013
2012
  • René Rosenbaum, Hans-Jörg Schulz, Steffen Hadlak and Heidrun Schumann: Visual Analysis of Spatiotemporal Multilevel Data. Workshop GeoVisual Analytics, Time to Focus on Time at the International Conference on Geographic Information Science (GIScience), Columbus, USA, 2012.
2011
2010
2009
2008

Presentations/Talks:

Software:

Videos of Techniques and Software: