How to Draw Graphs: Seeing and Redrafting Large Networks in Security and Biology
Bob Blakley, G R Blakley, Sean M Blakley

TL;DR
This paper introduces a novel cartographic method for drawing large graphs that improves clarity by avoiding edge intersections, providing consistent label placement, and enhancing interpretability, especially for complex networks in security and biology.
Contribution
The paper presents a new graph drawing technique that addresses common visualization issues, offering a clearer and more effective way to represent large networks.
Findings
Reduces edge crossings and non-vertex intersections.
Provides a consistent and logical placement for edge labels.
Enhances visual clarity of large, dense graphs.
Abstract
A graph is a mathematical object consisting of a set of vertices and a set of edges connecting vertices. Graphs can be drawn on paper in various ways, but until recently all published methods of drawing graphs have had undesirable properties: (i) for graphs which are not plane embeddable, intersections between the lines representing edges appear at points which are not vertices, creating the appearance of vertices where none exist, (ii) vertex labels can be placed inside vertex symbols, but there is no consistent, logical, and visually clean place to put edge labels, and (iii) representations of large graphs are visually dense and difficult to interpret. This paper describes a new cartographic method of drawing graphs which solves all of these problems, and has other advantages as well. Complements, comparisons and contrasts of graphs are usually better shown cartographically than in…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsBioinformatics and Genomic Networks · Click Chemistry and Applications · Protein Degradation and Inhibitors
