An Improved Heterogeneous Mean-Field Theory for the Ising Model on Complex Networks  

作　　者：Feng Huang Han-Shuang Chen 黄凤;陈含爽(School of Mathematics and Physics,Anhui Jianzhu University,Hefei 230601,China;School of Physics and Materials Science,Anhui University,Hefei 230601,China)

机构地区：[1]School of Mathematics and Physics,Anhui Jianzhu University,Hefei 230601,China [2]School of Physics and Materials Science,Anhui University,Hefei 230601,China

出　　处：《Communications in Theoretical Physics》2019年第12期1475-1479,共5页理论物理通讯（英文版）

基　　金：Supported by the National Natural Science Foundation of China under Grant Nos.11875069,11405001;the Key Scientific Research Fund of Anhui Provincial Education Department under Grant No.KJ2019A0781

摘　　要：Heterogeneous mean-field theory is commonly used methodology to study dynamical processes on complex networks,such as epidemic spreading and phase transitions in spin models.In this paper,we propose an improved heterogeneous mean-field theory for studying the Ising model on complex networks.Our method shows a more accurate prediction in the critical temperature of the Ising model than the previous heterogeneous mean-field theory.The theoretical results are validated by extensive Monte Carlo simulations in various types of networks.

关 键 词：heterogeneous mean field theory Ising model phase transition 

分 类 号：O57[理学—粒子物理与原子核物理]