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In this paper, we consider the voter model with popularity bias. The influence of each node on its neighbors depends on its degree. We find the consensus probabilities and expected consensus times for each of the states. We also find the…

物理与社会 · 物理学 2014-06-30 Babak Fotouhi , Michael G. Rabbat

We discuss conservation of probability in noniteracting disordered electron systems. We argue that although the norm of the electron wave function is conserved in individual realizations of the random potential, we cannot extend this…

无序系统与神经网络 · 物理学 2008-09-16 V. Janis , J. Kolorenc

We study the influence of complex graphs on the metastability and fixation properties of a set of evolutionary processes. In the framework of evolutionary game theory, where the fitness and selection are frequency-dependent and vary with…

统计力学 · 物理学 2012-11-01 Michael Assaf , Mauro Mobilia

We study the voter model dynamics in the presence of confidence and bias. We assume two types of voters. Unbiased voters whose confidence is indifferent to the state of the voter and biased voters whose confidence is biased towards a common…

物理与社会 · 物理学 2022-08-10 Agnieszka Czaplicka , Christos Charalambous , Raul Toral , Maxi San Miguel

We consider a modification of the voter model in which a set of interacting elements (agents) can be in either of two equivalent states (A or B) or in a third additional mixed AB state. The model is motivated by studies of language…

物理与社会 · 物理学 2007-09-10 Xavier Castelló , Víctor M. Eguíluz , Maxi San Miguel

The stochastic dynamics of the multi-state voter model is investigated on a class of complex networks made of non-overlapping cliques, each hosting a political candidate and interacting with the others via Erd\H{o}s-R\'enyi links. Numerical…

物理与社会 · 物理学 2014-06-10 Filippo Palombi , Simona Toti

Using the zero-temperature Metropolis dynamics, the time decay of the remanent magnetization in the $\pm J$ Edward-Anderson spin glass model with a uniform random distribution of ferromagnetic and antiferromagnetic interactions has been…

无序系统与神经网络 · 物理学 2009-11-07 J. Klos , S. Kobe

The Barab\'{a}si-Albert (BA) model is extended to include the concept of local world and the microscopic event of adding edges. With probability $p$, we add a new node with $m$ edges which preferentially link to the nodes presented in the…

无序系统与神经网络 · 物理学 2009-11-11 Bing Wang , Huanwen Tang , Zhongzhi Zhang , Zhilong Xiu

A recent paper "Emergence of scaling in random networks" (cond-mat/9910332) by Barabasi and Albert proposes a growth mechanism to produce a stationary scale free distribution of the number of edges per node in large networks such as the…

无序系统与神经网络 · 物理学 2007-05-23 Lada A. Adamic , Bernardo A. Huberman

We investigate the time evolution of the density of active links and of the entropy of the distribution of agents among opinions in multi-state voter models with all-to-all interaction and on uncorrelated networks. Individual realisations…

物理与社会 · 物理学 2022-11-23 Lucia S. Ramirez , Maxi San Miguel , Tobias Galla

We propose a model that generates a new class of networks exhibiting power-law degree distribution with a spectrum of exponents depending on the number of links ($m$) with which incoming nodes join the existing network. Unlike the…

物理与社会 · 物理学 2018-01-09 Kamrul Hassan , Liana Islam

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 relax this…

统计力学 · 物理学 2015-06-05 Michele Starnini , Andrea Baronchelli , Romualdo Pastor-Satorras

We consider a generalised d-dimensional model for asymptotically-scale-free geographical networks. Central to many networks of this kind, when considering their growth in time, is the attachment rule, i.e. the probability that a new node is…

物理与社会 · 物理学 2020-05-26 Nicola Cinardi , Andrea Rapisarda , Constantino Tsallis

In this paper we examine a variant of the voter model on a dynamically changing network where agents have the option of changing their friends rather than changing their opinions. We analyse, in the context of dense random graphs, two…

概率论 · 数学 2015-01-14 Riddhipratim Basu , Allan Sly

We show that the structure of a growing tree preserves an information on the shape of an initial graph. For the exponential trees, evidence of this kind of memory is provided by means of the iterative equations, derived for the moments of…

无序系统与神经网络 · 物理学 2007-05-23 K. Malarz , K. Kulakowski

We show that a general class of social impact models with higher-order interactions on hypergraphs can be exactly reduced to an equivalent model with pairwise interactions on a weighted projected network. This reduction is made by a mapping…

物理与社会 · 物理学 2026-01-09 Jaume Llabrés , Raúl Toral , Maxi San Miguel , Federico Vázquez

Conserved dynamical systems are generally considered to be critical. We study a class of critical routing models, equivalent to random maps, which can be solved rigorously in the thermodynamic limit. The information flow is conserved for…

适应与自组织系统 · 物理学 2013-01-10 Dimitrije Markovic , Andre Schuelein , Claudius Gros

Nowadays there is an increasing interest of physicists in finding regularities related to social phenomena. This interest is clearly motivated by applications that a statistical mechanical description of the human behavior may have in our…

物理与社会 · 物理学 2011-10-28 M. C. Mantovani , H. V. Ribeiro , M. V. Moro , S. Picoli , R. S. Mendes

We study a binary dynamical process that is a representation of the voter model with opinion makers. The process models an election with two candidates but can also describe the frequencies of a biallelic gene in a population or atoms with…

适应与自组织系统 · 物理学 2015-11-04 Carolina A. Moreira , Marcus A. M. de Aguiar

We analyze the properties of the majority-vote (MV) model with an additional noise in which a local spin can be changed independently of its neighborhood. In the standard MV, one of the simplest nonequilibrium systems exhibiting an…

统计力学 · 物理学 2018-12-05 J. M. Encinas , Hanshuang Chen , Marcelo M. de Oliveira , C. E. Fiore