This repository hosts the R code that was used to create the software that fetches and formats data from openalex.org for scientific analysis with NodeXL

Explore the use of "sna" and "igraph" packages with R to analysis social network.

A rewrite of the Quiver frontend to use Bootstrap CSS so that it can be used as a diagram editor on all platforms having a web browser.

Simple Solver for Cut-set and Tie-set Matrices.

MarvelVerse is an interactive visualization project that explores the Marvel Comics universe through dynamic network graphs. Gain insights into hero teams, their connections, and the evolution of Marvel over time. This repository contains the source code and data for the MarvelVerse website.

Clone a GitHub fork as origin, add upstream remote, and add all other forks as remotes under their username.

Collect data from Bluesky for analysis and visualization in NodeXL

A web-based investigative platform that transforms complex telecommunications IPDR data into actionable intelligence through ML-powered anomaly detection (94.16% accuracy) and interactive visualizations.

Using LLM concerning a recommender system. An ontology transformation from given text documents for the production to a network architecture considering specific manufacturing rules.

The Lord of the Rings novels adapted to cinema with three movies. This project analyzes the structure with scene by scene analysis of the movies, characters with details and some other factors affect the relationship between characters. These variables are used to create a network to see the relations in the Lord of the Rings cinematic universe.

Social Media Analytics Dashboard

Комплексный анализ белковых взаимодействий, ассоциированных со старением человека, с использованием данных STRING базы данных и продвинутых методов визуализации сетевых структур.

C++ toolkit for analyzing and visualizing large-scale graphs sourced from the Stanford Large Network Dataset Collection.

Analyzing Facebook ego networks to identify influential users and communities for optimizing political advertising. Leverages network science techniques (Louvain communities, centrality metrics, threshold models) to simulate influence spread.