Let FG(P) be a functional defined on the set of all the probability distributions on the vertex set of a graph G. We say that G is symmetric with respect to FG(P) if the distribution P∗ maximizing FG(P) is uniform on V(G). Using the combinatorial definition of the entropy of a graph in terms of its vertex packing polytope and the relationship between the graph entropy and fractional chromatic number, we prove that vertex-transitive graphs are symmetric with respect to graph entropy. As the main result of this paper, we prove that a perfect graph is symmetric with respect to graph entropy if and only if its vertices can be covered by disjoint copies of its maximum-size clique. Particularly, this means that a bipartite graph is symmetric with respect to graph entropy if and only if it has a perfect matching.
Changiz Rezaei, S. S., & Godsil, C. (2016). Entropy of symmetric graphs. Discrete Mathematics, 339(2), 475–483. https://doi.org/10.1016/j.disc.2015.09.020