Cited By
View all- Fischer E(2020)Lifetime distribution of information diffusion on simultaneously growing networksSocial Network Analysis and Mining10.1007/s13278-020-00651-w10:1Online publication date: 2-Jun-2020
SIS Contagion Avoidance on a Network Growing by Preferential Attachment
Article No.: 11, Pages 1 - 4
Abstract
The economic and convenience benefits of interconnectivity drive the current explosive growth in networked systems. However, as recent catastrophic contagious failures in numerous large-scale networked infrastructures have demonstrated, interconnectivity is also inherently associated with various risks, including the risk of undesirable contagions. This paper reports on a work-in-progress on network formation subject to Susceptible-Infected-Susceptible (SIS) contagion risk mitigation. As opposed to existing research, we concentrate on network growth. Using a generalized form of preferential attachment, we consider evolving networks where each incoming node to the network combines a preference for connecting to high degree nodes with an aversion for contagion risk. Our initial simulation results indicate that contagion risk aversion significantly alters the topology and contagion propagation for an emerging network. We also discuss the computational aspects of our simulation and our future plans to extend this model.
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Index Terms
- SIS Contagion Avoidance on a Network Growing by Preferential Attachment
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June 2019
88 pages
Copyright © 2019 Public Domain.
This paper is authored by an employee(s) of the United States Government and is in the public domain. Non-exclusive copying or redistribution is allowed, provided that the article citation is given and the authors and agency are clearly identified as its source.
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Association for Computing Machinery
New York, NY, United States
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Published: 30 June 2019
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SIGMOD/PODS '19
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SIGMOD/PODS '19: International Conference on Management of Data
June 30 - July 5, 2019
Amsterdam, Netherlands
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GRADES-NDA'19 Paper Acceptance Rate 10 of 20 submissions, 50%;
Overall Acceptance Rate 29 of 61 submissions, 48%
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View all- Fischer E(2020)Lifetime distribution of information diffusion on simultaneously growing networksSocial Network Analysis and Mining10.1007/s13278-020-00651-w10:1Online publication date: 2-Jun-2020
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