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)

Experimental Research on Social Networks

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.”

DOCES (Dynamical Opinion Clusters Exploration Suite) is an experimental Python library to simulate opinion dynamics on adaptive complex networks. Its background is implemented in C for performance.

This repository provides a simple code for simulating the model of opinion dynamics in DeGroot (1974).

Implementation and description of experiments for three-way opinion spread

Homework and exercises from course Network Dynamics and Learning - PoliTo

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.

Uncertainty-driven heterogeneous collective opinion dynamics, corresponding to the manuscript entitled "Leveraging Uncertainty in Collective Opinion Dynamics with Heterogeneity"

Multi-agent simulation model of belief dynamics with LMs.

Effect of social media on opinion formation in two dimensional Sznajd model

Spreading Processes on Networks