  Recently, real world networks having constant/shrinking diameter along with
power-law degree distribution are observed and investigated in literature.
Taking an inspiration from these findings, we propose a deterministic complex
network model, which we call Self-Coordinated Corona Graphs (SCCG), based on
the corona product of graphs. As it has also been established that self
coordination/organization of nodes gives rise to emergence of power law in
degree distributions of several real networks, the networks in the proposed
model are generated by the virtue of self coordination of nodes in corona
graphs. Alike real networks, the SCCG inherit motifs which act as the seed
graphs for the generation of SCCG. We also analytically prove that the power
law exponent of SCCG is approximately $2$ and the diameter of SCCG produced by
a class of motifs is constant. Finally, we compare different properties of the
proposed model with that of the BA and Pseudofractal scale-free models for
complex networks.
