English

Inter-similarity between coupled networks

Data Analysis, Statistics and Probability 2015-05-20 v1 Social and Information Networks Physics and Society

Abstract

Recent studies have shown that a system composed from several randomly interdependent networks is extremely vulnerable to random failure. However, real interdependent networks are usually not randomly interdependent, rather a pair of dependent nodes are coupled according to some regularity which we coin inter-similarity. For example, we study a system composed from an interdependent world wide port network and a world wide airport network and show that well connected ports tend to couple with well connected airports. We introduce two quantities for measuring the level of inter-similarity between networks (i) Inter degree-degree correlation (IDDC) (ii) Inter-clustering coefficient (ICC). We then show both by simulation models and by analyzing the port-airport system that as the networks become more inter-similar the system becomes significantly more robust to random failure.

Keywords

Cite

@article{arxiv.1010.4506,
  title  = {Inter-similarity between coupled networks},
  author = {Roni Parshani and Celine Rozenblat and Daniele Ietri and Cesar Ducruet and Shlomo Havlin},
  journal= {arXiv preprint arXiv:1010.4506},
  year   = {2015}
}

Comments

4 pages, 3 figures

R2 v1 2026-06-21T16:32:18.401Z