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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
  • Nankai University
  • Private University for Health Sciences, Medical Informatics and Technology
  • Tampere University
  • City University of New York

Research output: Contribution to journalArticlepeer-review

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
Externally publishedYes

Keywords

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

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