Quick and simple web based solution to visualize GraphMl network diagrams

a repository to help introduce and orient students to the GitHub collaboration environment, and to support DH classes.

Free Wireshark tutorials for beginners with 13 interactive lessons. Easy-to-follow programming guides with hands-on practice exercises.

An analysis of 9 terrorist attack networks across various countries between the years 2000 and 2005 using a Gephi network graph visualization with the goal of discovering patterns, similarities, connections, and potential relationships between one another’s actors.

🌐This repository contains solutions to the course Applied Social Network Analysis in Python by University of Michigan.

Network analysis helper scripts

Python-based Black Hole Strategy as Frugal Graph Learning for node removal in MOF graphs using gravity metrics and community detection

Web scraping and web crawling using Scrapy to extract data from MyAnimeList.net to map a network and perform a Social Network Analysis using NetworkX.

Group project for the "Social Network Analysis" course of LUISS University (a.y. 2024-2025).

application i made that checks the users symptoms for the covid 19 virus

An analysis of my Facebook social network using a Gephi network graph visualization to determine the number and types of communities I am a part of online.

A sophisticated CAN bus analyzer in C, featuring real-time data capture, message filtering, decoding, graphical representation, and advanced statistical analysis

Yet another MovieBox

MonOnion.py is an advanced tool for monitoring .onion domains, offering unique functionalities for tracking changes in content, links, and service status. With the ability to send notifications via Telegram, it allows you to detect modifications on websites and observe patterns of behavior across hidden services.

An advanced tracking tool that generates a shareable link to capture and display a visitor’s IP address, location, and device or mobile details when the link is accessed, intended for controlled testing and informational purposes.

Intrusion Detection of Network using Machine Learning with Python. Our software serves as a robust tool for analysing network traffic, evaluating its safety, and identifying potential threats such as DDoS, SSH, Web attacks, BotNet, Infiltration, and Heartbleed

Master's thesis under construction.

Ratfor programs from Systems Analysis and Design Using Network Techniques, Gary E Whitehouse, Prentice-Hall, 1973

packet sniffer and interpreter... you know for research purposes