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Toward measuring network aesthetics based on symmetry

  • Zengqiang Chen
  • , Matthias Dehmer*
  • , Frank Emmert-Streib
  • , Abbe Mowshowitz
  • , Yongtang Shi
  • *Corresponding author for this work

    Research output: Contribution to journalArticleScientificpeer-review

    6 Citations (Scopus)
    22 Downloads (Pure)

    Abstract

    In this exploratory paper, we discuss quantitative graph-theoretical measures of network aesthetics. Related work in this area has typically focused on geometrical features (e.g., line crossings or edge bendiness) of drawings or visual representations of graphs which purportedly affect an observer's perception. Here we take a very different approach, abandoning reliance on geometrical properties, and apply information-theoretic measures to abstract graphs and networks directly (rather than to their visual representaions) as a means of capturing classical appreciation of structural symmetry. Examples are used solely to motivate the approach to measurement, and to elucidate our symmetry-based mathematical theory of network aesthetics.

    Original languageEnglish
    Article number12
    JournalAxioms
    Volume6
    Issue number2
    DOIs
    Publication statusPublished - 1 Jun 2017
    Publication typeA1 Journal article-refereed

    Keywords

    • Aesthetical theory
    • Aesthetics
    • Entropy
    • Network aesthetics
    • Networks

    Publication forum classification

    • No publication forum level

    ASJC Scopus subject areas

    • Algebra and Number Theory
    • Analysis
    • Geometry and Topology
    • Logic
    • Mathematical Physics

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