title: Statistically consistent coarse-grained simulations for critical phenomena in complex networks.
abstract: We propose a degree-based coarse-graining approach that not just accelerates the evaluation of dynamics on complex networks, but also satisfies the consistency conditions for both equilibrium statistical distributions and nonequilibrium dynamical flows. For the Ising model and susceptible-infected-susceptible epidemic model, we introduce these required conditions explicitly and further prove that they are satisfied by our coarse-grained network construction within the annealed network approximation. Finally, we numerically show that the phase transitions and fluctuations on the coarse-grained network are all in good agreements with those on the original one.
authors.affiliation: Department of Chemical Physics, Hefei National Laboratory for Physical Sciences at Microscales, University of Science and Technology of China, Hefei, Anhui 230026, China.
authors.forename: Hanshuang
authors.initials: H
authors.lastname: Chen
authors.forename: Zhonghuai
authors.initials: Z
authors.lastname: Hou
authors.forename: Houwen
authors.initials: H
authors.lastname: Xin
authors.forename: Yijing
authors.initials: Y
authors.lastname: Yan