Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction
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Updated
Oct 16, 2020 - Python
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction
Leveraging Social Influence based on Users Activity Centers for Point-of-Interest Recommendation
This tool is a part of the paper "Inductive and Transductive Link Prediction for Criminal Network Analysis," published in the Journal of Computational Science in 2023. It implements an analyzer and visualizer specialized for criminal (social) network analysis, including community detection, social influence analysis, and link prediction.
This repository contains a Python script that implements a novel group recommender system based on the research paper titled "A novel group recommender system based on members’ influence and leader impact" by Reza Barzegar Nozari and Hamidreza Koohi.
Our project for the "Data Intelligence Applications" exam at Politecnico di Milano. The project was about Social Influence and Pricing online learning techniques applied to networks.
Our project for the "Data Intelligence Applications" exam at Politecnico di Milano. The project was about Social Influence and Pricing techniques applied to networks.
Temporal causality in social network cascades
Perceptual decision-making tasks to examine how the opinions of others change individuals’ basic perceptual processes, i.e., whether social influence can alter perception of colors.
Pricing and Social Influence Maximization using Reinforcement Learning algorithms in Data Intelligence Applications projects from Politechnic of Milan
Agent-based model developed on the basis of the Regulatory Theory of Social Influence (RTSI) with two types of interacting agents: humans and AI entities.
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