Bibliography

[Dob20]

Simon Dobson. Epidemic modelling – Some notes, maths, and code. Independent Publishing Network, 2020. ISBN 978-183853-565-0. URL: https://simondobson.org/introduction-to-epidemics/.

[Dob21]

Simon Dobson. Complex networks, complex processes: a network science miscellany. Work in progress, 2021. URL: https://simondobson.org/cncp/.

[Gil76]

Daniel Gillespie. A general method for numerically simulating thestochastic time evolution of coupled chemical reactions. Journal of Computational Physics, 22:403––434, 1976.

[Gil77]

Daniel Gillespie. Exact stochastic simulation of coupled chemical reactions. Journal of Physical Chemistry, 81(25):2340––2361, 1977.

[HebertDA19]

Laurent Hébert-Dufresne and Antoine Allard. Smeared phase transitions in percolation on real complex networks. Physical Review Research, 2019. doi:10.1103/PhysRevResearch.1.013009.

[Het00]

Herbert Hethcote. The mathematics of infectious diseases. SIAM Review, 42(4):599–653, December 2000. doi:10.1137/S0036144500371907.

[Ken21]

Malcolm Kennett. Essential statistical physics. Cambridge University Press, 2021. ISBN 978-1-108-48078-9. doi:10.1017/9781108691116.

[KM27]

W.O. Kermack and A.G. McKendrick. A contribution to the mathematical theory of epidemics. Proceedings of the Royal Society A, 1927. doi:10.1098/rspa.1927.0118.

[MSMD21]

Peter Mann, V. Anne Smith, John Mitchell, and Simon Dobson. Random graphs with arbitrary clustering and their applications. Physical Review E, January 2021. doi:10.1103/PhysRevE.103.012309.

[MHP+11]

Sergey Melnik, Adam Hackett, Mason Porter, Peter Mucha, and James Gleeson. The unreasonable effectiveness of tree-based theory for networks with clustering. Physical Review E, March 2011. doi:10.1103/PhysRevE.83.036112.

[Mil09]

Joel Miller. Percolation and epidemics in random clustered networks. Physical Review E, August 2009. doi:10.1103/physreve.80.020901.

[MS90]

Renato Mirollo and Steven Strogatz. Synchronization of pulse-coupled biological oscillators. SIAM Journal on Applied Mathematics, 50(6):1645–1662, 1990. URL: http://www.jstor.org/stable/2101911.

[MR96]

Michael Molloy and Bruce Reed. A critical point for random graphs with a given degree sequence. Random Structures and Algorithms, March–May 1996. doi:10.1002/rsa.3240060204.

[MGN06]

Christopher Moore, Gourab Ghosal, and M.E.J. Newman. Exact solutions for models of evolving networks with addition and deletion of nodes. Physical Review E, September 2006. doi:10.1103/PhysRevE.74.036121.

[MNP04]

Yamir Moreno, Maziar Nekovee, and Amalio Pacheco. Dynamics of rumor spreading in complex networks. Physical Review E, 2004. doi:10.1103/physreve.69.066130.

[New02]

M.E.J. Newman. Spread of epidemic disease on networks. Physical Review E, July 2002. doi:10.1103/PhysRevE.66.016128.

[NSW01]

M.E.J. Newman, Steven Strogatz, and Duncan Watts. Random graphs with arbitrary degree distributions and their applications. Physical Review E, 2001. doi:10.1103/PhysRevE.64.026118.

[NZ00]

M.E.J. Newman and R.M. Ziff. Efficient Monte Carlo algorithm and high-precision results for percolation. Physical Review Letters, November 2000. doi:10.1103/PhysRevLett.85.4104.

[SD13]

Saray Shai and Simon Dobson. Coupled adaptive complex networks. Physical Review E, April 2013. doi:10.1103/PhysRevE.87.042812.

[Wil94]

Herbert Wilf. generatingfunctionology. Academic Press, 1994.