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Computational Geometry
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Edge routing with ordered bundles

Authors: Sergey Pupyrev; Lev Nachmanson; Sergey Bereg; Alexander E. Holroyd;

Edge routing with ordered bundles

Abstract

Edge bundling reduces the visual clutter in a drawing of a graph by uniting the edges into bundles. We propose a method of edge bundling drawing each edge of a bundle separately as in metro-maps and call our method ordered bundles. To produce aesthetically looking edge routes it minimizes a cost function on the edges. The cost function depends on the ink, required to draw the edges, the edge lengths, widths and separations. The cost also penalizes for too many edges passing through narrow channels by using the constrained Delaunay triangulation. The method avoids unnecessary edge-node and edge-edge crossings. To draw edges with the minimal number of crossings and separately within the same bundle we develop an efficient algorithm solving a variant of the metro-line crossing minimization problem. In general, the method creates clear and smooth edge routes giving an overview of the global graph structure, while still drawing each edge separately and thus enabling local analysis.

Country
Russian Federation
Keywords

EDGE ROUTING, Computational Geometry (cs.CG), FOS: Computer and information sciences, CROSSING MINIMIZATION, GRAPH STRUCTURES, GRAPH DRAWING, Computer graphics; computational geometry (digital and algorithmic aspects), Computer Science - Data Structures and Algorithms, EDGE BUNDLING, Data Structures and Algorithms (cs.DS), NARROW CHANNEL, COST FUNCTIONS, ALGORITHMS, crossing minimization, DRAWING (GRAPHICS), edge routing, edge bundling, CONSTRAINED DELAUNAY TRIANGULATION, graph drawing, Graph theory (including graph drawing) in computer science, Computer Science - Computational Geometry, VISUAL CLUTTER, COSTS

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
35
Top 10%
Top 10%
Top 10%
Green
hybrid