Toolbox for Evolutionary Game Theory.
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Jul 7, 2025 - C++
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Toolbox for Evolutionary Game Theory.
Code for "Nonlinear, Natural, and Noisy: A Quantitative Approach to the Collection and Analysis of Real-World Social Behavior" (Chiovaro & Paxton, under review).
Simulations of flocking behaviour in active agents, using a simple Viscek model
The Friction-Flow framework aims to analyze and track narrative field dynamics in complex social systems, emphasizing the evolution, interaction, and influence of stories.
Spreading Processes on Networks
Q state Voter model in N-dimensional regular networks (N-dimensional lattice) and complex networks (Albert-Barabasi and Erdos-Renyi).
Will small variations lead to diverse conversational outcomes? An experiment with conversational agents.
Voter model in N-dimensional regular networks (N-dimensional lattice) and complex networks (Albert-Barabasi and Erdos-Renyi)
This repository contains all the code and resources accompanying the paper titled "Messengers: Breaking Echo Chambers in Collective Opinion Dynamics with Homophily"
The purpose was to study the mood of respondents, what are the predictors of mood among students with different personality types and how do these predictors vary between different time diaries.
Gamified version of a referential communication task described in https://doi.org/10.1044/2018_JSLHR-H-18-0107
A web-based simulation of human behavior using distinct agent types (Leaders, Influencers, Rebels, Observers) with evolving emotions. Explore social dynamics by adjusting parameters like influence and rebellion. Features AI-powered analysis via Google Gemini API to interpret collective trends and emotional shifts.
Continuous-time noisy voter model
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