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 Nμ12/μ2, where μk is the kth moment of the degree distribution. For a power-law degree distribution nk∼k-ν, TN thus scales as N for ν>3, as N/lnN for ν=3, as N(2ν-4)/(ν-1) for 2<ν<3, as (lnN)2 for ν=2, and as O(1) for ν<2. These results agree with simulation data for networks with both uncorrelated and correlated node degrees.
%0 Journal Article
%1 Sood2005
%A Sood, V.
%A Redner, S.
%D 2005
%I American Physical Society
%J Physical Review Letters
%K graphs networks opinion-formation voter-model
%N 17
%P 178701+
%R 10.1103/PhysRevLett.94.178701
%T Voter Model on Heterogeneous Graphs
%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 Nμ12/μ2, where μk is the kth moment of the degree distribution. For a power-law degree distribution nk∼k-ν, TN thus scales as N for ν>3, as N/lnN for ν=3, as N(2ν-4)/(ν-1) for 2<ν<3, as (lnN)2 for ν=2, and as O(1) for ν<2. These results agree with simulation data for networks with both uncorrelated and correlated node degrees.
@article{Sood2005,
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 Nμ12/μ2, where μk is the kth moment of the degree distribution. For a power-law degree distribution nk∼k-ν, {TN} thus scales as N for ν>3, as {N/lnN} for ν=3, as N(2ν-4)/(ν-1) for 2<ν<3, as ({lnN})2 for ν=2, and as O(1) for ν<2. These results agree with simulation data for networks with both uncorrelated and correlated node degrees.},
added-at = {2011-03-14T17:14:06.000+0100},
author = {Sood, V. and Redner, S.},
biburl = {https://www.bibsonomy.org/bibtex/24afb384756e2a6f4d3b35eee646a8a02/rincedd},
day = 3,
doi = {10.1103/PhysRevLett.94.178701},
interhash = {4c57440ae015a6e94e23249bb034ce19},
intrahash = {4afb384756e2a6f4d3b35eee646a8a02},
journal = {Physical Review Letters},
keywords = {graphs networks opinion-formation voter-model},
month = may,
number = 17,
pages = {178701+},
publisher = {American Physical Society},
timestamp = {2011-03-14T17:14:07.000+0100},
title = {Voter Model on Heterogeneous Graphs},
volume = 94,
year = 2005
}