Low K-shells Identify Bridge Elements Critical to Disease Flow in Small-world 
Networks

Reppas, Andreas; Lawyer, Glenn

doi:10.1063/1.4756427

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Low K-shells Identify Bridge Elements Critical to Disease Flow in Small-world Networks

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Lawyer, Glenn
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

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Reppas, A., & Lawyer, G. (2012). Low K-shells Identify Bridge Elements Critical to Disease Flow in Small-world Networks. In T. Simos, G. Psihoyios, C. Tsitouras, & Z. Anastassi (Eds.), Numerical Analysis and Applied Mathematics (pp. 1426-1429). New York, NY: AIP. doi:10.1063/1.4756427.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0014-C56F-5

Abstract

Targeted vaccination of individuals with high degree or centrality has been shown to be an effective strategy in scale-free networks. Small-world networks, however, are characterized by homogenous degree and centrality distributions, making it less obvious which individuals should be targeted. Under the assumption that nodes with low k-shell index serve as bridge elements, we confirm via simulation that an acquaintance-based vaccination strategy based on low k-shell individuals can efficiently control disease in small world networks.