Abstract
Our main interest in this paper is the large dicliques in a directed inhomogeneous random graph model G(n,α, Φ) on n vertices, which has power-law out/in-degree distributions with scaling exponent α>0 and community structures involved in the homophyly matrix Φ. We show that there is a major difference in the size of the largest diclique ω d (G(n,α, Φ)) between the case α<2 and α>2 with an intermediate result for α=2. In addition, we show that a simple algorithm with high probability finds a large diclique of size ω d (G(n,α, Φ)) in a polynomial time. Our simulation results reveal that the connections between different subcommunities are essential for the formation of large clusters in the networks.
Acknowledgements
The author is grateful to the anonymous referees for their instructive and detailed comments towards the improvement of this paper.