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Graph Drawing and Network Visualization - Reinhard von Hanxleden - Bog

Bag om Graph Drawing and Network Visualization

This book constitutes the proceedings of the 30th International Symposium on Graph Drawing and Network Visualization, GD 2022, held in Tokyo, Japan, during September 13-16, 2022. The 25 full papers, 7 short papers, presented together with 2 invited talks, one report on graph drawing contest, and one obituary in these proceedings were carefully reviewed and selected from 70 submissions. The abstracts of 5 posters presented at the conference can be found in the back matter of the volume. The contributions were organized in topical sections as follows: properties of drawings of complete graphs; stress-based visualizations of graphs; planar and orthogonal drawings; drawings and properties of directed graphs; beyond planarity; dynamic graph visualization; linear layouts; and contact and visibility graph representations.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783031222023
  • Indbinding:
  • Paperback
  • Sideantal:
  • 516
  • Udgivet:
  • 19. Januar 2023
  • Udgave:
  • 23001
  • Størrelse:
  • 155x28x235 mm.
  • Vægt:
  • 774 g.
  • 2-3 uger.
  • 17. Juli 2024
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Beskrivelse af Graph Drawing and Network Visualization

This book constitutes the proceedings of the 30th International Symposium on Graph Drawing and Network Visualization, GD 2022, held in Tokyo, Japan, during September 13-16, 2022.
The 25 full papers, 7 short papers, presented together with 2 invited talks, one report on graph drawing contest, and one obituary in these proceedings were carefully reviewed and selected from 70 submissions. The abstracts of 5 posters presented at the conference can be found in the back matter of the volume. The contributions were organized in topical sections as follows: properties of drawings of complete graphs; stress-based visualizations of graphs; planar and orthogonal drawings; drawings and properties of directed graphs; beyond planarity; dynamic graph visualization; linear layouts; and contact and visibility graph representations.

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