DocumentCode
3069344
Title
Using the Gestalt Principle of Closure to Alleviate the Edge Crossing Problem in Graph Drawings
Author
Rusu, Amalia ; Fabian, Andrew J. ; Jianu, Radu ; Rusu, Adrian
Author_Institution
Dept. of Software Eng., Fairfield Univ., Fairfield, CT, USA
fYear
2011
fDate
13-15 July 2011
Firstpage
488
Lastpage
493
Abstract
Graphs, generally used as data structures in computer science applications, have steadily shown a growth in mapping various types of relationships, from maps to computer networks to social networks. As graph layouts and visualizations have been at the forefront of graph drawing research for decades, it consequently led to aesthetic heuristics that not only generated better visualizations and aesthetically appealing graphs but also improved readability and understanding of the graphs. A variety of approaches examines aesthetics of nodes, edges, or graph layout, and related readability metrics. In this paper we focus on the edge crossing problem and propose a solution that incorporates Gestalt principles to improve graph aesthetics and readability. We introduce the concept of breaks in edges at edge crossings. A break is a gap in an edge drawing occurring in the vicinity of an edge crossing. At every edge crossing, one of the incident edges is broken, which will prevent any unintentional Gestalts that occur at edge crossings that reduce the readability of a graph drawing. We present our preliminary results and user studies that show that this technique could play a role in improving graph readability.
Keywords
computational geometry; data structures; data visualisation; technical drawing; Gestalt principle; computer networks; computer science applications; data structures; edge crossing problem; graph aesthetics; graph drawings; graph layouts; readability metrics; social networks; visualizations; Algorithm design and analysis; Approximation algorithms; Complexity theory; Computer science; Humans; Image edge detection; USA Councils; Gestalt principles; edge crossings; graph drawings; graphs;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Visualisation (IV), 2011 15th International Conference on
Conference_Location
London
ISSN
1550-6037
Print_ISBN
978-1-4577-0868-8
Type
conf
DOI
10.1109/IV.2011.63
Filename
6004089
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