Discovering near symmetry in graphs

M. Fox, D. Long, J. Porteous

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Citations (Scopus)

Abstract

Symmetry is a widespread phenomenon that can offer opportunities for powerful exploitation in areas as diverse as molecular chemistry, pure mathematics, circuit design, biology and architecture. Graphs are an abstract way to represent relational structures. The search for symmetry in many contexts can thus be reduced to the attempt to find graph automorphisms. Brendan McKay's NAUTY system (McKay 1990) is an example of one of the highly successful products of research into this task. Erd˝os and R´enyi showed that almost all large graphs are asymmetric, but it is readily observed that many graphs representing structures of real interest contain symmetry. Even more graphs are nearly symmetric, in the sense that to each graph there is a closely similar graph that is symmetric. In this paper we explore the problem of finding near symmetries in graphs and describe the techniques we are developing for performing this task.
Original languageEnglish
Title of host publicationProceedings of AAAI 2007
Number of pages6
Publication statusPublished - Jul 2007

Keywords

  • symmetry
  • graphs
  • relational structures
  • asymmetric
  • symmetric
  • artificial intelligence

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    Fox, M., Long, D., & Porteous, J. (2007). Discovering near symmetry in graphs. In Proceedings of AAAI 2007