Structural changes during a complex network interaction

  • Elijah Justin Mendoza Medina National Institute of Physics, University of the Philippines Diliman
  • Johnrob Yap Bantang National Institute of Physics, University of the Philippines Diliman
Keywords: complex networks, network interactions, Monte Carlo method

Abstract

We determine the degree of interaction between two complex networks G1 and G2 by measuring the changes in their structural properties. Networks G1 and G2 are made to interact by identifying a fraction of nodes nc < |N1| present in both networks to be identical or similar that they can essentially replace each other. We set G1 such that it has fewer number of nodes such that |N1| < |N2|. The nc common nodes are chosen according to some network properties such as degree, centrality, and clustering. Each of the pair of networks which are made to interact are chosen from the well-known models of real-world networks. Their interactions reveal salient properties of complex systems interaction that has implications in many biological and physical phenomena.

Published
2017-06-07
Section
Poster Session B (Complex Systems, Simulations, and Theoretical Physics)