Ordering dynamics of the multi-state voter model

被引:30
|
作者
Starnini, Michele [1 ]
Baroncheli, Andrea [2 ]
Pastor-Satorras, Romualdo [1 ]
机构
[1] Univ Politecn Cataluna, Dept Fis & Engn Nucl, ES-08034 Barcelona, Spain
[2] Northeastern Univ, Lab Modeling Biol & Sociotech Syst, Boston, MA 02115 USA
关键词
stochastic particle dynamics (theory); network dynamics; interacting agent models; stochastic processes;
D O I
10.1088/1742-5468/2012/10/P10027
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
The voter model is a paradigm of ordering dynamics. At each time step, a random node is selected and copies the state of one of its neighbors. Traditionally, this state has been considered as a binary variable. Here, we address the case in which the number of states is a parameter that can assume any value, from 2 to infinity, in the thermodynamic limit. We derive mean-field analytical expressions for the exit probability, the consensus time, and the number of different states as a function of time for the case of an arbitrary number of states. We finally perform a numerical study of the model in low-dimensional lattices, comparing the case of multiple states with the usual binary voter model. Our work sheds light on the role of the parameter accounting for the number of states.
引用
收藏
页数:12
相关论文
共 50 条
  • [21] A MULTI-STATE MODEL OF METATSTATIC COLORECTAL CANCER
    van Rooijen, E. M.
    Coupe, V. M. H.
    Koopman, M.
    Punt, C. J. A.
    Uyl-De Groot, C. A.
    [J]. VALUE IN HEALTH, 2014, 17 (07) : A630 - A630
  • [22] A multi-state model for kidney disease progression
    Lintu, M. K.
    Shreyas, K. M.
    Kamath, Asha
    [J]. CLINICAL EPIDEMIOLOGY AND GLOBAL HEALTH, 2022, 13
  • [23] Evolution of single nanobubbles through multi-state dynamics
    Huihui Wang
    Ting He
    Ying Du
    Wenhui Wang
    Yangbin Shen
    Shuping Li
    Xiaochun Zhou
    Feng Yang
    [J]. Chinese Chemical Letters, 2020, 31 (09) : 2442 - 2446
  • [24] Mixture multi-state Markov regression model
    Yen, Amy Ming-Fang
    Chen, Tony Hsiu-Hsi
    [J]. JOURNAL OF APPLIED STATISTICS, 2007, 34 (01) : 11 - 21
  • [25] Discontinuous phase transitions in the multi-state noisy q-voter model: quenched vs. annealed disorder
    Nowak, Bartlomiej
    Ston, Bartosz
    Sznajd-Weron, Katarzyna
    [J]. SCIENTIFIC REPORTS, 2021, 11 (01)
  • [26] Velocity-repulsion model for pedestrian dynamics based on a multi-state modelling framework
    Ding, Heng
    Chen, Juan
    Ma, Jian
    Wang, Qiao
    Shi, Congling
    [J]. TRANSPORTMETRICA A-TRANSPORT SCIENCE, 2023, 19 (01)
  • [27] Dynamics of temporal activity in multi-state neural networks
    Shim, GM
    Wong, KYM
    Bolle, D
    [J]. JOURNAL OF PHYSICS A-MATHEMATICAL AND GENERAL, 1997, 30 (08): : 2637 - 2652
  • [28] Modeling asthma evolution by a multi-state model
    Boudemaghe, T
    Daurès, JP
    [J]. REVUE D EPIDEMIOLOGIE ET DE SANTE PUBLIQUE, 2000, 48 (03): : 249 - 255
  • [29] Multi-state model for dementia, institutionalization, and death
    Commenges, D
    Joly, P
    [J]. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2004, 33 (06) : 1315 - 1326
  • [30] The multi-state reliability model of a wind turbine
    Orlowska, Agata
    [J]. COMPUTER APPLICATIONS IN ELECTRICAL ENGINEERING (ZKWE'2019), 2019, 28