On the numerical study of percolation and epidemic critical properties in networks
暂无分享,去创建一个
[1] P. A. Macri,et al. Effects of epidemic threshold definition on disease spread statistics , 2008, 0808.0751.
[2] Reuven Cohen,et al. Numerical evaluation of the upper critical dimension of percolation in scale-free networks. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.
[3] R. Pastor-Satorras,et al. Langevin approach for the dynamics of the contact process on annealed scale-free networks. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.
[4] Pascal Crépey,et al. Epidemic variability in complex networks. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.
[5] Sergey N. Dorogovtsev,et al. Critical phenomena in complex networks , 2007, ArXiv.
[6] K. Binder. Finite size scaling analysis of ising model block distribution functions , 1981 .
[7] J. Yeomans,et al. Statistical mechanics of phase transitions , 1992 .
[8] Piet Van Mieghem,et al. Epidemic processes in complex networks , 2014, ArXiv.
[9] M. Newman. Spread of epidemic disease on networks. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.
[10] R. May,et al. How Viruses Spread Among Computers and People , 2001, Science.
[11] K. Binder,et al. A Guide to Monte Carlo Simulations in Statistical Physics , 2000 .
[12] J. Robins,et al. Second look at the spread of epidemics on networks. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.
[13] Alessandro Vespignani,et al. Epidemic spreading in complex networks with degree correlations , 2003, cond-mat/0301149.
[14] F. Radicchi. Predicting percolation thresholds in networks. , 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.
[15] S. N. Dorogovtsev,et al. Evolution of networks , 2001, cond-mat/0106144.
[16] D S Callaway,et al. Network robustness and fragility: percolation on random graphs. , 2000, Physical review letters.
[17] Claudio Castellano,et al. Thresholds for epidemic spreading in networks , 2010, Physical review letters.
[18] M. Newman,et al. Fast Monte Carlo algorithm for site or bond percolation. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.
[19] S. Redner,et al. Introduction To Percolation Theory , 2018 .
[20] Mark Newman,et al. Networks: An Introduction , 2010 .
[21] R. Dickman,et al. Nonequilibrium Phase Transitions in Lattice Models , 1999 .
[22] M. Newman,et al. Efficient Monte Carlo algorithm and high-precision results for percolation. , 2000, Physical review letters.
[23] Reuven Cohen,et al. Percolation critical exponents in scale-free networks. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.
[24] Moment ratios for absorbing-state phase transitions , 1998, cond-mat/9805294.
[25] P. Grassberger. On the critical behavior of the general epidemic process and dynamical percolation , 1983 .
[26] Filippo Radicchi,et al. Breaking of the site-bond percolation universality in networks , 2015, Nature Communications.
[27] R. Pastor-Satorras,et al. Generation of uncorrelated random scale-free networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.
[28] Romualdo Pastor-Satorras,et al. Epidemic thresholds of the Susceptible-Infected-Susceptible model on networks: A comparison of numerical and theoretical results , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.
[29] Ming Tang,et al. Numerical identification of epidemic thresholds for susceptible-infected-recovered model on finite-size networks , 2015, Chaos.
[30] Alessandro Vespignani,et al. Cut-offs and finite size effects in scale-free networks , 2003, cond-mat/0311650.
[31] Alessandro Vespignani,et al. Epidemic spreading in scale-free networks. , 2000, Physical review letters.
[32] Donald Ludwig,et al. Final size distribution for epidemics , 1975 .
[33] Y. Moreno,et al. Epidemic outbreaks in complex heterogeneous networks , 2001, cond-mat/0107267.
[34] D. Stauffer,et al. Fluctuations of the infinite network in percolation theory , 1980 .
[35] Madhav V. Marathe,et al. Mathematical Tools for Understanding Infectious Disease Dynamics. Princeton Series in Theoretical and Computational Biology. By Odo Diekmann, Hans Heesterbeek and Tom Britton. xiv + 502 pp. Princeton, NJ: Princeton University Press. 2014. $90.00 (cloth and e‐book). , 2013 .