GNV: Graph and Network Visualization
Graph and network visualization is mainly concerned with algorithmic methods that combine criteria of aesthetics, legibility and efficiency for the visualization of purely combinatorial information (represented as (un)directed graphs) and it is primarily motivated by applications where it is crucial to analyze and interact with relational data by means of visualization techniques.
- Background and Goals
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Graph and network visualization is mainly concerned with algorithmic methods that combine criteria of aesthetics, legibility and efficiency for the visualization of purely combinatorial information (represented as (un)directed graphs) and it is primarily motivated by applications where it is crucial to analyze and interact with relational data by means of visualization techniques.
Design and experimentation of graph and network visualization algorithms
Techniques, interfaces and interaction methods for graphs, trees, and other relational data
Visualization of graphs and networks in application areas such as:
- social sciences
- software engineering
- cloud and mobile computing
- circuit design
- biology
- security
Benchmarks and experimental analysis for graph visualization systems
Software systems, prototypes and user interfaces for graph visualization
Geometric and topological graph theory
Cognitive experiments, case studies, and best practices for graph visualization
Michael Bekos, University of Tuebingen.
Tamara Mcheldidze, Karlsruhe Inst. of Technology
Antonios Symvonis, National Technical U. of Athens
- Patrizio Angelini University of Tuebingen
- Walter Didimo University of Perugia
- Michael Kaufmann University of Tuebingen
- Stephen Kobourov University of Arizona
- Giuseppe Liotta University of Perugia
- Fabrizio Montecchiani University of Perugia
- Martin Nöllenburg Technical University of Vienna
- Chrysanthi Raftopoulou National Technical University of Athens
- Ignaz Rutter Karlsruhe Inst. of Technology
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