Network Diffusion Library - (for NetworkX and iGraph)
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Updated
Mar 26, 2024 - Python
Network Diffusion Library - (for NetworkX and iGraph)
Code and data for the KDD2020 paper "Learning Opinion Dynamics From Social Traces"
Multi-Agent Simulation of Collective Behavior (Pedestrian Crowd)
Network Diffusion Library REST Service
People Recommender Systems in Opinion Dynamics models
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.”
Multi-agent simulation model of belief dynamics with LMs.
"Tensor Decomposition to Capture Spatiotemporal Patterns of Coupled Oscillator and Opinion Dynamics" by Agam Goyal and Hanbaek Lyu
Python implementation of the noisy voter model with poll-induced delays.
Spreading Processes on Networks
Continuous-time noisy voter model
Inspecting simulated conversations with artificial deliberative agents
Convenient exit time & exit probability plot creator for q-voter model on graphs
Investigating social phenomena prevalent in online covid-19 discourse through network-agent based modelling
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