Social Network Analysis and Visualization software application.

Computational tools for urban analysis

k Betweenness Centrality algorithm for Spark using GraphX

A Python package to calculate, visualize and analyze correlation maps of proteins.

A massively parallel library for computing the functions of sparse matrices.

The Implementation of "Deep Recursive Network Embedding with Regular Equivalence"(KDD 2018)

A sparsity aware implementation of "Biological Network Comparison Using Graphlet Degree Distribution" (Bioinformatics 2007)

NetworkX clone in JavaScript

Spectral centrality measures in multilayer networks and their application in scientometrics

Nodal centrality for multiplex networks

Analysis of Centrality -Finding Most Influential Person in a Social Network

Tutorial introduction to economic network analysis and graph clustering in python with networkx

A graph algorithm library in Gleam

Implementation for onion decomposition in Python

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

A detailed analysis of an email network between 143 employees of Enron company

Energy Grid Optimization and Analysis (EGOA)

Nuclear centrality estimation from GPSeq experiment.

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.

Comparison of Tumor and Normal Cells Protein-Protein Interaction Network Parameters

Code used for the paper "Multi-dimensional HITS: An always computable ranking for temporal multi-layer directed networks", Arrigo, Tudisco, 2018

Project repository for CS6670 : Topics in Data Mining offered in Spring 2018

Lab Assignments of Course Web Mining (CSE-3024)

Projects for Social Gaming course in Technical University of Munich

R package: Extensions to iGraph for Information Centrality

A search engine implemented as a part of "Search Engines and Web Mining" course

This is a simple game of route prediction with the purpose of teaching the basics of the Centrality algorithm in a Graph

Social network connection analysis on approximation fast algorithm

No description provided.

Generating graphical visualization of e-books which gives best explained section of the books in terms of centrality and relevance