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Link Operations for Slowing the Spread of Disease in Complex Networks
Australian National University.
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
2011 (English)In: Europhysics letters, ISSN 0295-5075, E-ISSN 1286-4854, Vol. 95, no 1, 18005- p.Article in journal (Refereed) Published
Abstract [en]

A variety of social, biological and communication networks can be modelled using graph theoretical tools. Similar graphical tools can be used to model the topology by which disease, errors, and/or other undesired phenomenon etc. is spread and propagated through such networks. Certain network operations are proposed in this work that can be used to slow the spread of diseases in complex network topologies. The approach considered in this work differs from existing techniques in that it is based on optimally removing (or immunizing) individual links in the network as opposed to individual nodes. A systematic algorithm is outlined to achieve this edgewise immunization via a relaxed convex optimization protocol.

Place, publisher, year, edition, pages
EPLA , 2011. Vol. 95, no 1, 18005- p.
Keyword [en]
SOCIAL NETWORKS, VACCINATION, STRATEGIES
National Category
Other Physics Topics Computational Mathematics
Identifiers
URN: urn:nbn:se:kth:diva-46789DOI: 10.1209/0295-5075/95/18005ISI: 000291990600034Scopus ID: 2-s2.0-79960152342OAI: oai:DiVA.org:kth-46789DiVA: diva2:454223
Note
QC 20111109Available from: 2011-11-09 Created: 2011-11-06 Last updated: 2017-12-08Bibliographically approved

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