Inter-similarity between coupled networks

Autor:	Parshani, Roni, Rozenblat, Celine, Ietri, Daniele, Ducruet, Cesar, Havlin, Shlomo
Rok vydání:	2010
Předmět:	Physics - Data Analysis Statistics and Probability Computer Science - Social and Information Networks Physics - Physics and Society
Druh dokumentu:	Working Paper
DOI:	10.1209/0295-5075/92/68002
Popis:	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. Comment: 4 pages, 3 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1010.4506 Zobrazit plný text záznamu View this record from Arxiv