Tools to construct and process webgraphs from Common Crawl data

Identification and Classification of the Most Influential Nodes

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.

Network analysis of the authors in the C-CLAMP corpus

In this study, we implement the approach proposed in research, which introduces a game theoretic methodology to identify key players in terrorist networks. By adopting this approach, we aim to assess its practical applicability and effectiveness.

Code for enforcing the Katz and PagRank centrality scores

Analysis of IMDb public dataset for inferring the most influential films in the history of cinema

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.

This assignment entails analyzing the 'A Song of Ice and Fire' character network using R and igraph. Tasks include graph creation, exploring properties, subgraph creation, centrality calculation, and ranking characters based on PageRank. Deliverables include a PDF report with concise answers and an R file containing the code.

WebGraph is a framework for graph compression.

Social Network Analysis and Visualization software application.

Topological data analytic approach for discovering biophysical signatures in protein dynamics

Project for the Advanced Data Science course (Complex Networks part, 2022-2023) - UNIUD

Notes from a graduate level course in Network Analysis.

Identification and Classification of the Most Influential Nodes

Results of my BSc project using Python to produce a network and perform analysis on it

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

Sequential and parallel implementation of different Centrality Measures.

Unraveling Philippine Aviation: A Comprehensive Analysis through Network Science and Scenario Exploration