activity
19932023
most citedGeneric Absorbing Transition in Coevolution Dynamics

281 citations · 3k across the 59 of their papers we have counts for

collaborators

59 papers

physics.soc-ph2023★ 11 cited

Threshold cascade dynamics on coevolving networks

Byungjoon Min, Maxi San Miguel

We study the coevolutionary dynamics of network topology and social complex contagion using a threshold cascade model. Our coevolving threshold model incorporates two mechanisms: t…

physics.soc-ph2022★ 15 cited

Biased-voter model: how persuasive a small group can be?

Agnieszka Czaplicka, Christos Charalambous, Raul Toral +1

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 a…

physics.soc-ph2020★ 32 cited

Pair approximation for the noisy threshold -voter model

A. R. Vieira, Antonio F. Peralta, Raul Toral +2

In the standard -voter model, a given agent can change its opinion only if there is a full consensus of the opposite opinion within a group of influence of size . A more real…

physics.soc-ph2018

Chimera and anticoordination states in learning dynamics

Haydee Lugo, Juan Carlos Gonzalez-Avella, Maxi San Miguel

In many real-life situations, individuals are dared to simultaneously achieve social objectives of acceptance or approval and strategic objectives of coordination. Since these two…

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…

nlin.AO2018★ 22 cited

Multilayer coevolution dynamics of the nonlinear voter model

Byungjoon Min, Maxi San Miguel

We study a coevolving nonlinear voter model on a two-layer network. Coevolution stands for coupled dynamics of the state of the nodes and of the topology of the network in each lay…