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

• Published in: Physica A Vol. 336; no. 1; pp. 163 - 173
• Main Authors: Simonsen, Ingve, Astrup Eriksen, Kasper, Maslov, Sergei, Sneppen, Kim
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Elsevier B.V 01.05.2004
• Subjects: Biofysiks; Biologi; Biological Sciences; Biophysics; Complex random networks; Natural Sciences; Naturvetenskap; Network modules; Statistical physics; 05.40.Fb; Network modules; Complex random networks; Statistical physics; 89.20.Hh; 89.75.−k; 89.75.Hc
• ISSN: 0378-4371; 1873-2119
• DOI: 10.1016/j.physa.2004.01.021

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.