scholarly journals Large deviation induced phase switch in an inertial majority-vote model

2017 ◽  
Vol 27 (8) ◽  
pp. 081102 ◽  
Author(s):  
Hanshuang Chen ◽  
Chuansheng Shen ◽  
Haifeng Zhang ◽  
Jürgen Kurths
Keyword(s):  
Large Deviation ◽  
Majority Vote ◽  
Vote Model

scholarly journals Fundamental ingredients for discontinuous phase transitions in the inertial majority vote model

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Jesus M. Encinas ◽  
Pedro E. Harunari ◽  
M. M. de Oliveira ◽  
Carlos E. Fiore
Keyword(s):  
Phase Transitions ◽  
Majority Vote ◽  
Vote Model ◽  
Discontinuous Phase ◽  
Discontinuous Phase Transitions

scholarly journals Effect of Strong Opinions on the Dynamics of the Majority-Vote Model

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
André L. M. Vilela ◽  
H. Eugene Stanley
Keyword(s):  
Majority Vote ◽  
Vote Model

scholarly journals A Reliable Weighting Scheme for the Aggregation of Crowd Intelligence to Detect Fake News

Information ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 319 ◽  
Author(s):  
Franklin Tchakounté ◽  
Ahmadou Faissal ◽  
Marcellin Atemkeng ◽  
Achille Ntyam
Keyword(s):  
Social Networks ◽  
Majority Vote ◽  
Internet User ◽  
Majority Voting ◽  
Third Party ◽  
Weighted Averaging ◽  
The Internet ◽  
Fake News ◽  
Vote Model ◽  
The Public

Social networks play an important role in today’s society and in our relationships with others. They give the Internet user the opportunity to play an active role, e.g., one can relay certain information via a blog, a comment, or even a vote. The Internet user has the possibility to share any content at any time. However, some malicious Internet users take advantage of this freedom to share fake news to manipulate or mislead an audience, to invade the privacy of others, and also to harm certain institutions. Fake news seeks to resemble traditional media to establish its credibility with the public. Its seriousness pushes the public to share them. As a result, fake news can spread quickly. This fake news can cause enormous difficulties for users and institutions. Several authors have proposed systems to detect fake news in social networks using crowd signals through the process of crowdsourcing. Unfortunately, these authors do not use the expertise of the crowd and the expertise of a third party in an associative way to make decisions. Crowds are useful in indicating whether or not a story should be fact-checked. This work proposes a new method of binary aggregation of opinions of the crowd and the knowledge of a third-party expert. The aggregator is based on majority voting on the crowd side and weighted averaging on the third-party side. An experimentation has been conducted on 25 posts and 50 voters. A quantitative comparison with the majority vote model reveals that our aggregation model provides slightly better results due to weights assigned to accredited users. A qualitative investigation against existing aggregation models shows that the proposed approach meets the requirements or properties expected of a crowdsourcing system and a voting system.

Small-world effects in the majority-vote model

2003 ◽  
Vol 67 (2) ◽  
Author(s):  
Paulo R. A. Campos ◽  
Viviane M. de Oliveira ◽  
F. G. Brady Moreira
Keyword(s):  
Majority Vote ◽  
Small World ◽  
Vote Model

scholarly journals MAJORITY-VOTE MODEL WITH HETEROGENEOUS AGENTS ON SQUARE LATTICE

2013 ◽  
Vol 24 (11) ◽  
pp. 1350083 ◽  
Author(s):  
F. W. S. LIMA
Keyword(s):  
Heterogeneous Agents ◽  
Majority Vote ◽  
Finite Size ◽  
Universality Class ◽  
Square Lattice ◽  
Stat Phys ◽  
Finite Size Scaling ◽  
Vote Model ◽  
Noise Parameter ◽  
Binder Cumulant

We study a nonequilibrium model with up-down symmetry and a noise parameter q known as majority-vote model (MVM) of [M. J. Oliveira, J. Stat. Phys.66, 273 (1992)] with heterogeneous agents on square lattice (SL). By Monte Carlo (MC) simulations and finite-size scaling relations, the critical exponents β∕ν, γ∕ν and 1∕ν and points qc and U* are obtained. After extensive simulations, we obtain β∕ν = 0.35(1), γ∕ν = 1.23(8) and 1∕ν = 1.05(5). The calculated values of the critical noise parameter and Binder cumulant are qc = 0.1589(4) and U* = 0.604(7). Within the error bars, the exponents obey the relation 2β∕ν + γ∕ν = 2 and the results presented here demonstrate that the MVM heterogeneous agents belongs to a different universality class than the nonequilibrium MVM with homogeneous agents on SL.

Isotropic majority-vote model on a square lattice

1992 ◽  
Vol 66 (1-2) ◽  
pp. 273-281 ◽  
Author(s):  
M. J. de Oliveira
Keyword(s):  
Majority Vote ◽  
Square Lattice ◽  
Vote Model

scholarly journals Short-time Monte Carlo simulation of the majority-vote model on cubic lattices

2021 ◽  
Vol 574 ◽  
pp. 125973
Author(s):  
K.P. do Nascimento ◽  
L.C. de Souza ◽  
A.J.F. de Souza ◽  
André L.M. Vilela ◽  
H. Eugene Stanley
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Majority Vote ◽  
Vote Model ◽  
Cubic Lattices ◽  
Short Time

Majority-vote model on directed Small-World-Voronoi–Delaunay random lattices

2018 ◽  
Vol 29 (07) ◽  
pp. 1850061
Author(s):  
R. S. C. Brenda ◽  
F. W. S. Lima
Keyword(s):  
Critical Exponents ◽  
Majority Vote ◽  
Small World ◽  
Universality Class ◽  
Two Dimensions ◽  
Critical Properties ◽  
Disordered System ◽  
Vote Model ◽  
Random Lattices ◽  
Second Order Phase Transition

We investigate the critical properties of the nonequilibrium majority-vote model in two-dimensions on directed small-world lattice with quenched connectivity disorder. The disordered system is studied through Monte Carlo simulations: the critical noise ([Formula: see text]), as well as the critical exponents [Formula: see text], [Formula: see text], and [Formula: see text] for several values of the rewiring probability [Formula: see text]. We find that this disordered system does not belong to the same universality class as the regular two-dimensional ferromagnetic model. The majority-vote model on directed small-world lattices presents in fact a second-order phase transition with new critical exponents which do not depend on [Formula: see text] ([Formula: see text]), but agree with the exponents of the equilibrium Ising model on directed small-world Voronoi–Delaunay random lattices.

scholarly journals Critical noise of majority-vote model on complex networks

2015 ◽  
Vol 91 (2) ◽  
Author(s):  
Hanshuang Chen ◽  
Chuansheng Shen ◽  
Gang He ◽  
Haifeng Zhang ◽  
Zhonghuai Hou
Keyword(s):  
Complex Networks ◽  
Majority Vote ◽  
Vote Model
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