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.
Chen, Zengqiang; Dehmer, Matthias; Emmert-Streib, Frank; Mowshowitz, Abbe; and Shi, Yongtang, "Toward Measuring Network Aesthetics Based on Symmetry" (2017). CUNY Academic Works.