activity
20122020
most citedThe noisy voter model on complex networks

132 citations · 417 across the 10 of their papers we have counts for

collaborators

10 papers

q-fin.CP2020

Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large scale agent-based model

Kirill S. Glavatskiy, Mikhail Prokopenko, Adrian Carro +2

Urban housing markets, along with markets of other assets, universally exhibit periods of strong price increases followed by sharp corrections. The mechanisms generating such non-l…

physics.soc-ph2018★ 28 cited

Herding and idiosyncratic choices: Nonlinearity and aging-induced transitions in the noisy voter model

Oriol Artime, Adrián Carro, Antonio F. Peralta +3

We consider the herding to non-herding transition caused by idiosyncratic choices or imperfect imitation in the context of the Kirman Model for financial markets, or equivalently t…

physics.soc-ph2018★ 46 cited

Stochastic pair approximation treatment of the noisy voter model

A. F. Peralta, A. Carro, M. San Miguel +1

We present a full stochastic description of the pair approximation scheme to study binary-state dynamics on heterogeneous networks. Within this general approach, we obtain a set of…

physics.soc-ph2018★ 75 cited

Analytical and numerical study of the non-linear noisy voter model on complex networks

A. F. Peralta, A. Carro, M. San Miguel +1

We study the noisy voter model using a specific non-linear dependence of the rates that takes into account collective interaction between individuals. The resulting model is solved…

physics.soc-ph2016★ 18 cited

Coupled dynamics of node and link states in complex networks: A model for language competition

Adrián Carro, Raúl Toral, Maxi San Miguel

Inspired by language competition processes, we present a model of coupled evolution of node and link states. In particular, we focus on the interplay between the use of a language…

physics.soc-ph2016★ 132 cited

The noisy voter model on complex networks

Adrián Carro, Raúl Toral, Maxi San Miguel

We propose a new analytical method to study stochastic, binary-state models on complex networks. Moving beyond the usual mean-field theories, this alternative approach is based on…

q-fin.GN2015★ 41 cited

Markets, herding and response to external information

Adrián Carro, Raúl Toral, Maxi San Miguel

We focus on the influence of external sources of information upon financial markets. In particular, we develop a stochastic agent-based market model characterized by a certain herd…

physics.soc-ph2014★ 14 cited

Fragmentation transition in a coevolving network with link-state dynamics

Adrián Carro, Federico Vazquez, Raúl Toral +1

We study a network model that couples the dynamics of link states with the evolution of the network topology. The state of each link, either A or B, is updated according to the maj…

physics.soc-ph2013★ 1 cited

Signal amplification in an agent-based herding model

Adrián Carro, Raúl Toral, Maxi San Miguel

A growing part of the behavioral finance literature has addressed some of the stylized facts of financial time series as macroscopic patterns emerging from herding interactions amo…

physics.soc-ph2012★ 62 cited

The role of noise and initial conditions in the asymptotic solution of a bounded confidence, continuous-opinion model

Adrian Carro, Raul Toral, Maxi San Miguel

We study a model for continuous-opinion dynamics under bounded confidence. In particular, we analyze the importance of the initial distribution of opinions in determining the asymp…