The Random-Cluster Model by Geoffrey Grimmett

2007 ◽  
Vol 75 (2) ◽  
pp. 273-273
Author(s):  
Olle Häggström
2006 ◽  
Vol 51 (15) ◽  
pp. 3091-3096 ◽  
Author(s):  
Z.D. Wei ◽  
H.B. Ran ◽  
X.A. Liu ◽  
Y. Liu ◽  
C.X. Sun ◽  
...  

2016 ◽  
Vol 681 ◽  
pp. 012014
Author(s):  
Martin Weigel ◽  
Eren Metin Elci ◽  
Nikolaos G. Fytas

2019 ◽  
Vol 30 (02n03) ◽  
pp. 1950009
Author(s):  
Hai Lin ◽  
Jingcheng Wang

In this paper, we develop an analytical framework and analyze the percolation properties of a random network by introducing statistical physics method. To adequately apply the statistical physics method on the research of a random network, we establish an exact mapping relation between a random network and Ising model. Based on the mapping relation and random cluster model (RCM), we obtain the partition function of the random network and use it to compute the size of the giant component and the critical value of the present probability. We extend this approach to investigate the size of remaining giant component and the critical phenomenon in the random network which is under a certain random attack. Numerical simulations show that our approach is accurate and effective.


2011 ◽  
Vol 852 (1) ◽  
pp. 149-173 ◽  
Author(s):  
Gesualdo Delfino ◽  
Jacopo Viti

2009 ◽  
Vol 80 (3) ◽  
Author(s):  
Youjin Deng ◽  
Xiaofeng Qian ◽  
Henk W. J. Blöte

2016 ◽  
Vol 64 (8) ◽  
pp. 3563-3575 ◽  
Author(s):  
Xuesong Cai ◽  
Xuefeng Yin ◽  
Xiang Cheng ◽  
Antonio Perez Yuste

2017 ◽  
Vol 170 (1) ◽  
pp. 22-61 ◽  
Author(s):  
Andrea Collevecchio ◽  
Eren Metin Elçi ◽  
Timothy M. Garoni ◽  
Martin Weigel

2020 ◽  
Vol 57 (3) ◽  
pp. 770-822
Author(s):  
Shirshendu Ganguly ◽  
Insuk Seo

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