Network Diffusion Library - (for NetworkX and iGraph)
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Updated
Jun 26, 2024 - Python
Network Diffusion Library - (for NetworkX and iGraph)
Code and data for the KDD2020 paper "Learning Opinion Dynamics From Social Traces"
Experimental Research on Social Networks
Multi-Agent Simulation of Collective Behavior (Pedestrian Crowd)
Research project on models of opinion formation
Network Diffusion Library REST Service
Docker container exposing a preconfigured python environment for Social Network Analysis
Agent-based simulation of social interaction (Social Force Model and Self-Propelled Brownian Particles)
Computational Social Science Project: "Algorithmic Bias in Echo Chamber Formation".
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.”
This repository provides a simple code for simulating the model of opinion dynamics in DeGroot (1974).
Homework and exercises from course Network Dynamics and Learning
Teaching material that I prepared as a TA for the laboratories of the Network Dynamics and Learning course for the MSc in Data Science and Engineering at Politecnico di Torino.
Effect of social media on opinion formation in two dimensional Sznajd model
Implementation and description of experiments for three-way opinion spread
Multi-agent simulation model of belief dynamics with LMs.
Uncertainty-driven heterogeneous collective opinion dynamics, corresponding to the manuscript entitled "Leveraging Uncertainty in Collective Opinion Dynamics with Heterogeneity"
Spreading Processes on Networks
"Tensor Decomposition to Capture Spatiotemporal Patterns of Coupled Oscillator and Opinion Dynamics" by Agam Goyal and Hanbaek Lyu
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