Motif dynamics on a growing network model for various open evolving systems

In this research, we construct an open evolving network model and study growing conditions of the model. We construct a simple network model that changes the structure and evolves according to time, and we examine the causes of macroscopic phenomena (e.g. earthquake and meteorological phenomenon, brain activity, etc.) through the characteristics of motif dynamics constituting the system. We measure the number of motifs in the model and investigate how the size of the system varies with the number of motifs. The motif is a subgraph of the network. We calculate Z score, which measures the number of motifs measured in the model, as compared to the null model. A motif with a large Z score means that it is abnormally large compared to the null model. We expect that the increase/decrease of certain motifs will help the growth of the network.

Faculty Supervisor:

Joern Davidsen

Student:

Partner:

Hanyang University

Discipline:

Physics

Sector:

Information and Communications Technology; Sustainability & the Environment; Technology

University:

University of Calgary

Program: