V. Sood, and S. Redner. Physical Review Letters, 94 (17):
178701(2005)
Abstract
We study the voter model on heterogeneous graphs. We exploit the nonconservation of the magnetization to characterize how consensus is reached. For a network of N nodes with an arbitrary but uncorrelated degree distribution, the mean time to reach consensus TN scales as Nµ<sub>1</sub><sup>2</sup>/µ2, where µk is the kth moment of the degree distribution. For a power-law degree distribution nk~k-nu, TN thus scales as N for nu>3, as N/lnN for nu=3, as N(2nu-4)/(nu-1) for 2<nu<3, as (lnN)2 for nu=2, and as script O(1) for nu<2. These results agree with simulation data for networks with both uncorrelated and correlated node degrees.
%0 Journal Article
%1 sood:178701
%A Sood, V.
%A Redner, S.
%D 2005
%I APS
%J Physical Review Letters
%K RMP_CFL redner sood voter 2005
%N 17
%P 178701
%T Voter Model on Heterogeneous Graphs
%U http://link.aps.org/abstract/PRL/v94/e178701
%V 94
%X We study the voter model on heterogeneous graphs. We exploit the nonconservation of the magnetization to characterize how consensus is reached. For a network of N nodes with an arbitrary but uncorrelated degree distribution, the mean time to reach consensus TN scales as Nµ<sub>1</sub><sup>2</sup>/µ2, where µk is the kth moment of the degree distribution. For a power-law degree distribution nk~k-nu, TN thus scales as N for nu>3, as N/lnN for nu=3, as N(2nu-4)/(nu-1) for 2<nu<3, as (lnN)2 for nu=2, and as script O(1) for nu<2. These results agree with simulation data for networks with both uncorrelated and correlated node degrees.
@article{sood:178701,
abstract = {We study the voter model on heterogeneous graphs. We exploit the nonconservation of the magnetization to characterize how consensus is reached. For a network of N nodes with an arbitrary but uncorrelated degree distribution, the mean time to reach consensus TN scales as Nµ<sub>1</sub><sup>2</sup>/µ2, where µk is the kth moment of the degree distribution. For a power-law degree distribution nk~k-nu, TN thus scales as N for nu>3, as N/lnN for nu=3, as N(2nu-4)/(nu-1) for 2<nu<3, as (lnN)2 for nu=2, and as [script O](1) for nu<2. These results agree with simulation data for networks with both uncorrelated and correlated node degrees.},
added-at = {2006-12-19T11:10:08.000+0100},
author = {Sood, V. and Redner, S.},
biburl = {https://www.bibsonomy.org/bibtex/24afb384756e2a6f4d3b35eee646a8a02/vittorio.loreto},
eid = {178701},
interhash = {4c57440ae015a6e94e23249bb034ce19},
intrahash = {4afb384756e2a6f4d3b35eee646a8a02},
journal = {Physical Review Letters},
keywords = {RMP_CFL redner sood voter 2005},
number = 17,
numpages = {4},
pages = 178701,
publisher = {APS},
timestamp = {2006-12-19T11:10:08.000+0100},
title = {Voter Model on Heterogeneous Graphs},
url = {http://link.aps.org/abstract/PRL/v94/e178701},
volume = 94,
year = 2005
}