Heuristics for Edge Drawing in a Graph-Based Visual Language

H
HCC
2001
IEEE 2001 Symposium on Human Centric Computing Languages and Environments (HCC'01)
Abstract - Heuristics for Edge Drawing in a Graph-Based Visual Language

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IEEE 2001 Symposium on Human Centric Computing Languages and Environments (HCC'01)

Stresa, Italy

September 05-September 07

ISBN: 0-7695-0474-4

	ASCII Text	x
	Bertrand Ibrahim, Honitriniela Randriamparany, Hidenori Yoshizumi, "Heuristics for Edge Drawing in a Graph-Based Visual Language," Human-Centric Computing Languages and Environments, IEEE CS International Symposium on, pp. 334, IEEE 2001 Symposium on Human Centric Computing Languages and Environments (HCC'01), 2001.

	BibTex	x
	@article{ 10.1109/HCC.2001.995284, author = {Bertrand Ibrahim and Honitriniela Randriamparany and Hidenori Yoshizumi}, title = {Heuristics for Edge Drawing in a Graph-Based Visual Language}, journal ={Human-Centric Computing Languages and Environments, IEEE CS International Symposium on}, volume = {0}, year = {2001}, isbn = {0-7695-0474-4}, pages = {334}, doi = {http://doi.ieeecomputersociety.org/10.1109/HCC.2001.995284}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Human-Centric Computing Languages and Environments, IEEE CS International Symposium on TI - Heuristics for Edge Drawing in a Graph-Based Visual Language SN - 0-7695-0474-4 SP EP A1 - Bertrand Ibrahim, A1 - Honitriniela Randriamparany, A1 - Hidenori Yoshizumi, PY - 2001 KW - null VL - 0 JA - Human-Centric Computing Languages and Environments, IEEE CS International Symposium on ER -

Bertrand Ibrahim, University of Geneva, Switzerland

Honitriniela Randriamparany, University of Geneva, Switzerland

Hidenori Yoshizumi, University of Geneva, Switzerland

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/HCC.2001.995284

Control-flow diagrams are often criticized as difficult to read because of numerous edge intersections. To improve the readability we propose a solution that manages the visual complexity of graphs with hundreds, or even thousands of nodes. It consists in applying heuristics to choose the best path for an edge and an appropriate color that will help distinguish an edge from its neighbors.

Citation:

Bertrand Ibrahim, Honitriniela Randriamparany, Hidenori Yoshizumi, "Heuristics for Edge Drawing in a Graph-Based Visual Language," hcc, pp.334, IEEE 2001 Symposium on Human Centric Computing Languages and Environments (HCC'01), 2001

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