@inbook{1d77369ca138487e9ef0439a8e7d2dc8,
title = "The SIR model and identification of spreaders",
abstract = "In this chapter, we review the classic susceptible-infected-recovered (SIR) model for disease spread as applied to a social network. In particular, we look at the problem of identifying nodes that are “spreaders” which cause a large part of the population to become infected under this model. To do so, we survey a variety of nodal measures based on centrality (degree, betweenness, etc.) and other methods (shell decomposition, nearest neighbor analysis, etc.). We then present a set of experiments that illustrate the relation of these nodal measures to spreading under the SIR model.",
keywords = "Betweenness centrality, Border gateway protocol, Centrality measure, Closeness centrality, Eigenvector centrality",
author = "Paulo Shakarian and Abhinav Bhatnagar and Ashkan Aleali and Elham Shaabani and Ruocheng Guo",
note = "Publisher Copyright: {\textcopyright} 2015, The Author(s).",
year = "2015",
doi = "10.1007/978-3-319-23105-1_2",
language = "English (US)",
series = "SpringerBriefs in Computer Science",
publisher = "Springer",
number = "9783319231044",
pages = "3--18",
booktitle = "SpringerBriefs in Computer Science",
edition = "9783319231044",
}