Proximity Drawings of Outerplanar Graphs (Preliminary Version).

Abstract

A proximity drawing of a graph is one in which pairs of adjacent vertices are drawn relatively close together according to some proximity measure while pairs of non-adjacent vertices are drawn relatively far apart. The fundamental question concerning proximity drawability is: Given a graph G and a definition of proximity, is it possible to construct a proximity drawing of G? We consider this question for outerplanar graphs with respect to an infinite family of proximity drawings called beta-drawings. These drawings include as special cases the well-known Gabriel drawings (when beta = 1), and relative neighborhood drawings (when beta = 2). We first show that all biconnected outerplanar graphs are beta-drawable for all values of beta such that 1 <= beta <= 2. As a side effect, this result settles in the affirmative a conjecture by Lubiw and Sleumer, that any biconnected outerplanar graph admits a Gabriel drawing. We then show that there exist biconnected outerplanar graphs that do not admit any convex beta-drawing for beta between 1 and 2. We also provide upper bounds on the maximum number of biconnected components sharing the same cut-vertex in a beta-drawable connected outerplanar graph. This last result is generalized to arbitrary connected planar graphs and is the first non-trivial characterization of connected beta-drawable graphs. Finally, a weaker definition of proximity drawings is applied and we show that all connected outerplanar graphs are drawable under this definition.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1996
Accession Number
ADA318526

Entities

People

  • Giuseppe Liotta
  • William Lenhart

Organizations

  • Brown University

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Aspect Ratio
  • Boundaries
  • Computer Science
  • Geometric Forms
  • Geometry
  • Image Processing
  • Lines (Geometry)
  • Numbers
  • Observation
  • Pattern Recognition
  • Three Dimensional
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Fields of Study

  • Mathematics

Readers

  • Graph Algorithms and Convex Optimization.