Social Network Analysis and Visualization software application.

WebGraph is a framework for graph compression.

A novel Clustering algorithm by measuring Direction Centrality (CDC) locally. It adopts a density-independent metric based on the distribution of K-nearest neighbors (KNNs) to distinguish between internal and boundary points. The boundary points generate enclosed cages to bind the connections of internal points.

Temporal Walk Based Centrality Metric for Graph Streams

WebGraph is a framework for graph compression.

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.

Tools to construct and process webgraphs from Common Crawl data

A statistical framework for feature selection and association mapping with 3D shapes

Identification and Classification of the Most Influential Nodes

Create a new term-frequency database from scraped IMF documents and study the evolution of crises discussion over time

Node Classification with Graph Neural Networks

MLP-Rank: A graph theoretical approach to structured pruning of deep neural networks based on weighted Page Rank centrality as introduced by the related thesis.

youtube trending videos dataset. exploratory data analysis.

Network Analysis: A comparative Analysis of Centrality Measures for the Brain Subregions of two Populations of Prairie Voles

This repository contains FDP'18 presentations and R scripts.

We will get data about movies in between 1995 and 2004 from IMBD and we will perform a complete SNA

Topological data analytic approach for discovering biophysical signatures in protein dynamics

Code used for the paper "Node and layer eigenvector centralities for multiplex networks", Tudisco, Arrigo, Gautier, SIAM J. Appl. Math 2017

Migration networks and housing prices analysis and ML tools

Social network analysis on global spread of COVID-19 using passenger travel history through airlines network