Graph layout algorithms strive to improve the utility of node-link visualizations or graph drawings by optimizing for readability criteria. One such criteria that has been widely used is to count edge crossings. Prior work has focused solely on minimizing the number of edge crossings, including provably-optimal layout algorithms for layered graphs. The research community has completely ignored the other side of the coin — can we optimally maximize edge crossings? This paper answers this question in the affirmative. Our WORSTisfimal layout algorithm produces the most unreadable layered graph drawing. It does so by using linear programming to produce a provably-optimally-awful solution. We hope that this groundbreaking result opens up an entirely new field of inquiry for graph drawing researchers — optimally-worst layout algorithms.
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Time to invest in the worst: a call for full genome sequencing of the 100 worst invasive species
- Award ID(s):
- 1849227
- PAR ID:
- 10502205
- Publisher / Repository:
- Frontiers in Environmental Science
- Date Published:
- Journal Name:
- Frontiers in Environmental Science
- Volume:
- 11
- ISSN:
- 2296-665X
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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