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.”

Simulating collective behaviour of fish

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.

Spreading Processes on Networks

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.

Continuous-time noisy voter model

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

Montecarlo simulation for the voter model with speciation.

Simulation of Opinion Dynamics models on graphs