activity
20022026
most citedFractional Fokker-Planck dynamics: Numerical algorithm and simulations

113 citations · 821 across the 36 of their papers we have counts for

collaborators
Showing physics.soc-phShow all

10 papers · 1 filter

physics.soc-ph2026

A memory-based three-state model of competing technology adoption: substitution regimes, multi-homing, and churn

Stefano Scialla, Marco Patriarca, Els Heinsalu +1

Technologies, products, platforms, and behavioral routines often compete through gradual adoption, reinforcement-dependent use, and temporary multi-homing. We formulate a homogeneo…

physics.soc-ph2025

Threshold model of language competition including the bilingual state

Mikhail V. Tamm, Els Heinsalu, Stefano Scialla +1

We propose a threshold model of language competition which includes intermediate bilingual state. The model is based on the Minett-Wang model but through the introduction of thresh…

physics.soc-ph2024★ 3 cited

Learning thresholds lead to stable language coexistence

Mikhail V. Tamm, Els Heinsalu, Stefano Scialla +1

We introduce a language competition model that is based on the Abrams-Strogatz model and incorporates the effects of memory and learning in the language shift dynamics. On a coarse…

physics.soc-ph2021★ 4 cited

The Role of bilinguals in the Bayesian naming game

Gionni Marchetti, Marco Patriarca, Els Heinsalu

We study the recently introduced Bayesian naming game model, in which the one-shot learning of the minimal naming game is replaced by a more realistic learning process defined acco…

physics.soc-ph2020★ 10 cited

A Bird's-Eye View of Naming Game Dynamics: From Trait Competition to Bayesian Inference

Gionni Marchetti, Els Heinsalu, Marco Patriarca

The present contribution reviews a set of different versions of the basic naming game model, differing in the underlying topology or in the mechanisms regulating the interactions b…

physics.soc-ph2019★ 18 cited

A Bayesian Approach to the Naming Game Model

Gionni Marchetti, Marco Patriarca, Els Heinsalu

We present a novel Bayesian approach to semiotic dynamics, which is a cognitive analogue of the naming game model restricted to two conventions. The one-shot learning that characte…