Graph multidrawing: Finding nice drawings without defining nice

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Abstract

This paper proposes a multidrawing approach to graph drawing. Current graph-drawing systems typically produce only one drawing of a graph. By contrast, the multidrawing approach calls for systematically producing many drawings of the same graph, where the drawings presented to the user represent a balance between aesthetics and diversity. This addresses a fundamental problem in graph drawing, namely, how to avoid requiring the user to specify formally and precisely all the characteristics of a single “nice” drawing. We present a proof-of-concept implementation with which we produce diverse selections of symmetric-looking drawings for small graphs.

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APA

Biedl, T., Marks, J., Ryall, K., & Whitesides, S. (1999). Graph multidrawing: Finding nice drawings without defining nice. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1547, pp. 347–355). Springer Verlag. https://doi.org/10.1007/3-540-37623-2_26

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