Searched for: subject%3A%22epidemic%255C+threshold%22
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Zhou, Xiaoyu (author)
Susceptible-Infected-Susceptible (SIS) model is commonly used to describe the spreading of virus on networks. However, a real-life epidemic process is not necessarily Markovian. The spreading of diseases, behaviors and information in real systems are sometimes dependent on the characteristics and current status of individuals. Thus it is far...
master thesis 2019
document
Li, C. (author)
doctoral thesis 2014
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Omic, J.S. (author), Kooij, R.E. (author), Van Mieghem, P. (author)
We examine the influence of heterogeneous curing rates for a SIS model, used for malware spreading on the Internet, information dissemination in unreliable networks, and propagation of failures in networks. The topology structures considered are the regular graph which represents the homogenous network structures and the complete bi-partite...
conference paper 2009
document
Kooij, R.E. (author), Schumm, P. (author), Scoglio, C. (author), Youssef, M. (author)
The robustness of a network is depending on the type of attack we are considering. In this paper we focus on the spread of viruses on networks. It is common practice to use the epidemic threshold as a measure for robustness. Because the epidemic threshold is inversely proportional to the largest eigenvalue of the adjacency matrix, it seems easy...
conference paper 2009
document
Van Mieghem, P. (author), Omic, J. (author), Kooij, R. (author)
journal article 2009
Searched for: subject%3A%22epidemic%255C+threshold%22
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