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

A multi-agent (LLMs) jury deliberation simulation system.

Q state 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"

Voter model in N-dimensional regular networks (N-dimensional lattice) and complex networks (Albert-Barabasi and Erdos-Renyi)

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.

Continuous-time noisy voter model

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.

Will small variations lead to diverse conversational outcomes? An experiment with conversational agents.

AI-powered social media simulation framework using LLMs for modeling Twitter dynamics during crisis events. Built for SBP-BRiMS 2024 Twitter Challenge.