Clique structure and other network properties of the tensor product of Erdos-R\'enyi graphs

Abstract

We analyze the number of cliques of given size and the size of the largest clique in tensor product G × H of two Erdos-R\'enyi graphs G and H. Then an extended clustering coefficient is introduced and is studied for G × H. Restriction to the standard clustering coefficient has a direct relation to the local efficiency of the graph, and the results are also interpreted in terms of the efficiency. As a last statistic of interest, the number of isolated vertices is analyzed for G × H. The paper is concluded with a discussion of the modular product of random graphs, and the relation to the maximum common subgraph problem.

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