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1

Kiss, Istvan Z. Mathematics of Epidemics on Networks: From Exact to Approximate Models. Springer International Publishing, 2017.

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2

Bianconi, Ginestra. Epidemic Spreading. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198753919.003.0013.

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Epidemic processes are relevant to studying the propagation of infectious diseases, but their current use extends also to the study of propagation of ideas in the society or memes and news in online social media. In most of the relevant applications epidemic spreading does not actually take place on a single network but propagates in a multilayer network where different types of interaction play different roles. This chapter provides a comprehensive view of the effect that multilayer network structures have on epidemic processes. The Susceptible–Infected–Susceptible (SIS) Model and the Suscept
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3

Newman, Mark. Epidemics on networks. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198805090.003.0016.

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This chapter discusses the spread of diseases over contact networks between individuals and the methods used to model this process. The chapter begins with an introduction to the classic models of mathematical epidemiology, including the SI model, the SIR model, and the SIS model. Models for coinfection and competition between diseases are also discussed, as well as “complex contagion” models used to represent the spread of information. The remainder of the chapter deals with the behavior of these models on networks, where the behavior of spreading diseases depends strongly on network structur
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4

Kiss, István Z., Joel C. Miller, and Péter L. Simon. Mathematics of Epidemics on Networks: From Exact to Approximate Models. Springer, 2018.

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Kiss, István Z., Joel C. Miller, and Péter L. Simon. Mathematics of Epidemics on Networks: From Exact to Approximate Models. Springer, 2017.

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6

Rocha, Luis E. C., Fredrik Liljeros, and Petter Holme. Sexual and Communication Networks of Internet-Mediated Prostitution. Edited by Scott Cunningham and Manisha Shah. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199915248.013.3.

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This chapter examines prostitution as a socioeconomic phenomenon and discusses its contribution to the spread of sexually transmitted infections. Using online network data from Internet-mediated prostitution in Brazil, it looks at the connectedness of individuals on a review website where clients record intimate details about encounters with sex workers. It begins with an overview of networks, including human sexual networks, along with network properties and measures and the dynamics and structure of a sexual network. It describes general models of disease spreading and introduces a specific
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7

Kucharski, Adam. Les lois de la contagion: Fake news, virus, tendances... DUNOD, 2021.

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8

The Rules of Contagion: Why Things Spread--And Why They Stop. Basic Books, 2020.

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9

Kucharski, Adam. Rules of Contagion: Why Things Spread--And Why They Stop. Basic Books, 2021.

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10

Kucharski, Adam. Les lois de la contagion: Fake news, virus, tendances... : comment tout commence, pourquoi tout s'arrête. DUNOD, 2021.

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11

Kucharski, Adam, and Francesca Barrie. Rules of Contagion: Why Things Spread - and Why They Stop. Welcome Books, 2020.

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Kucharski, Adam. Rules of Contagion: Why Things Spread - and Why They Stop. Welcome Books, 2020.

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Kucharski, Adam. Rules of Contagion: Why Things Spread--And Why They Stop. Basic Books, 2020.

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14

Kucharski, Adam. Les lois de la contagion: Fake news, virus, tendances... DUNOD, 2021.

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15

Rules of Contagion: Why Things Spread - and Why They Stop. Welcome Books, 2021.

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