Social Network Analysis and Visualization software application.

Tools to construct and process webgraphs from Common Crawl data

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.

WebGraph is a framework for graph compression.

Identification and Classification of the Most Influential Nodes

Temporal Walk Based Centrality Metric for Graph Streams

WebGraph is a framework for graph compression.

DEBS 2021: Graph Stream Analytics tutorial

Identification and Classification of the Most Influential Nodes

Node Classification with Graph Neural Networks

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

Analysis of the traffic flow in the cities of Bristol and Cincinnati, considering data gathered by Uber Movement.

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

This repository contains FDP'18 presentations and R scripts.

Topological data analytic approach for discovering biophysical signatures in protein dynamics

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.

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.

Mitigating epidemic spread with mobility network modeling

Graph Algorithm with ML and Neo4j