Diffusion on complex networks: a way to probe their large-scale topological structures

Ingve Simonsen, Kasper Astrup Eriksen, Sergei Maslov and Kim Sneppen

Physica A: Statistical Mechanics and its Applications, 2004, vol. 336, issue 1, 163-173

Abstract: A diffusion process on complex networks is introduced in order to uncover their large-scale topological structures. This is achieved by focusing on the slowest decaying diffusive modes of the network. The proposed procedure is applied to real-world networks like a friendship network of known modular structure, and an Internet routing network. For the friendship network, its known structure is well reproduced. In case of the Internet, where the structure is far less well known, one indeed finds a modular structure, and modules can roughly be associated with individual countries. Quantitatively, the modular structure of the Internet manifests itself in an approximately 10 times larger participation ratio of its slowest decaying modes as compared to the null model—a random scale-free network. The extreme edges of the Internet are found to correspond to Russian and US military sites.

Keywords: Complex random networks; Network modules; Statistical physics (search for similar items in EconPapers)
Date: 2004
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:336:y:2004:i:1:p:163-173

DOI: 10.1016/j.physa.2004.01.021

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