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2006

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Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/13288

Percolation and epidemic thresholds in clustered networks

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http://dx.doi.org/10.1103/PhysRevLett.97.088701

Abstract

We develop a theoretical approach to percolation in random clustered networks. We find that, although clustering in scale-free networks can strongly affect some percolation properties, such as the size and the resilience of the giant connected component, it cannot restore a finite percolation threshold. In turn, this implies the absence of an epidemic threshold in this class of networks, thus extending this result to a wide variety of real scale-free networks which shows a high level of transitivity. Our findings are in good agreement with numerical simulations.

Subject

Física estadística, Percolació (Física estadística)

Subject (English)

Statistical physics, Percolation (Statistical physics)

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Articles publicats en revistes (Física de la Matèria Condensada)

Citation

SERRANO MORAL, Ma. Ángeles (María Ángeles) and BOGUÑÁ, Marián. Percolation and epidemic thresholds in clustered networks. Physical Review Letters. 2006. Vol. 97, num. 8, pags. 088701-1-088701-4. ISSN 0031-9007. [consulted: 13 of August of 2026]. Available at: https://hdl.handle.net/2445/13288

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