Network topology inference from infection statistics

Igor Tomovski and Ljupčo Kocarev

Physica A: Statistical Mechanics and its Applications, 2015, vol. 436, issue C, 272-285

Abstract: We introduce a mathematical framework for identification of network topology, based on data collected from infectious SIS process occurring on a network. An exact expression for the weight of each network link (existing or not) as a function of infectious statistics, is obtained. An algorithm for proper implementation of the analyzed concept is suggested and the validity of the obtained result is confirmed by numerical simulations performed on a number of synthetic (computer generated) networks.

Keywords: Network topology; SIS process (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:436:y:2015:i:c:p:272-285

DOI: 10.1016/j.physa.2015.03.090

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