Spreading Processes on Networks
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Updated
Sep 6, 2024 - Python
Spreading Processes on Networks
Python implementation of the noisy voter model with poll-induced delays.
Continuous-time noisy voter model
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.”
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.
Noisy voter model for the parliamentary presence
Implementation of the compartmental voter model
Graficzny interfejs służący do symulowania modelu opinii społecznej - Modelu q-wyborcy.
Montecarlo simulation for the voter model with speciation.
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)
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