Simulating collective behaviour of fish

Software that simulates voting processes and compares electoral systems. A network of voters is generated by the Stochastic Block Model or a distance-based model. Opinion dynamics are run on the network with options for zealots and media bias. Different electoral systems are supported with high flexibility to accommodate real-world systems.”

Spreading Processes on Networks

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

Implementation of the compartmental voter model

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

Python implementation of the noisy voter model with poll-induced delays.

AAMAS-2025 paper: Voter Model Meets Rumour Spreading, A Study of Consensus Protocols on Graphs with Agnostic Nodes.

Noisy voter model for the parliamentary presence

Two most univesal spin models - Ising and voter - modelled with various algorithms in Python

Study and analyze the BTC-Alpha network to identify influence of trust behavior dynamics on bitcoin-based cryptocurrency. Also, analyze how the roles of important individuals with the network contribute to the dynamics of cryptocurrency networks, particularly with regard to the privacy and network security.

Graficzny interfejs służący do symulowania modelu opinii społecznej - Modelu q-wyborcy.

Continuous-time noisy voter model

Montecarlo simulation for the voter model with speciation.

Simulation of Opinion Dynamics models on graphs