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).

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

Implementation of the compartmental voter model

Spreading Processes on Networks

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

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.

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

Noisy voter model for the parliamentary presence

Continuous-time noisy voter model

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

Montecarlo simulation for the voter model with speciation.