Complex networks are data structures with great importance in representing real world interactions which surrounds us. While their structures might look chaotic at a first glance, the focus of most on-going studies in this field is in understanding how their topological properties influence the dynamics of a complex network’s structure in order to prove a possible order in the apparent chaos that they display. Based on the evidence found in our previous studies, which revealed a significant correlation between the existence of articulation points and meso-level components such as network motifs, this paper tries to extend this study by presenting analytical research between a consistent set of micro-level topological properties from Graph and Complex Networks Theory and the appearance of the motifs. The purpose of this study is to use network properties to provide a better understanding of how and why network motifs appear, a further step toward the goal of proposing a generator model for networks with specific concentrations of motifs.
Mursa, B.E.M., Andreica, A., Diosan, L.: An empirical analysis of the correlation between the motifs frequency and the topological properties of complex networks. In Proceedings of the 23rd International Conference on Knowledge-Based and Intelligent Information Engineering Systems, September, 2019