Self-converse mixed graphs are extremely rare
Pepijn Wissing

TL;DR
This paper investigates the rarity of self-converse mixed graphs, providing theoretical evidence that such graphs are extremely uncommon as their proportion approaches zero.
Contribution
It offers a theoretical analysis demonstrating that the fraction of self-converse mixed graphs tends to zero, highlighting their scarcity in the graph space.
Findings
Self-converse mixed graphs are extremely rare.
The fraction of such graphs tends to zero.
Theoretical evidence supports their scarcity.
Abstract
A mixed graph is cospectral to its converse, with respect to the usual adjacency matrices. Hence, it is easy to see that a mixed graph whose eigenvalues occur uniquely, up to isomorphism, must be isomorphic to its converse. It is therefore natural to ask whether or not this is a common phenomenon. This note contains the theoretical evidence to confirm that the fraction of self-converse mixed graphs tends to zero.
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Taxonomy
TopicsGraph theory and applications · Matrix Theory and Algorithms · Synthesis and Properties of Aromatic Compounds
