Harry Potter Character Interaction Networks: Analyzing character relationships, evolution, and narrative dynamics in J.K. Rowling's wizarding world using network science techniques and data from the Harry Potter series. Explore the magic of storytelling through data.

In this report, I used social network analysis techniques to study the Huawei's customer connecting pattern. This report is based on the data from Huawei Social Network Data on Kaggle platform. Data Link: https://www.kaggle.com/datasets/andrewlucci/huawei-social-network-data

Zentralitätsanalyse der Burschenschaft Germania in Marburg

Enron Network Centrality Analytics. First Assignment for Data Analytics course @unimib18/19.

The Social Network Intelligence Engine is a C++-based analytics framework that models social networks as graphs to perform deep structural intelligence. This project applies advanced DSA concepts to detect communities, identify influential nodes, generate personalized recommendation and suggest recommendations to improve global network connectivity

Inflow and Outflow centrality metrics derived from graph convolution

A network science and computational linguistics project analyzing lexical connections between Burushaski and global languages using centrality measures and interactive graph visualizations.

Mencari most influential Visual Novel Producer dengan 3 metode Centrality (Degree, Betweenness, Eigenvector) berdasarkan data dari VNDB

Project for analyzing and visualizing Ancona's road network using OpenStreetMap datasets, an interactive graph, and customized analyses.

In depth Network Analysis + Centrality Analysis + Link Prediction for Terrorism Dataset

💰 Analysis code of the paper published in EPJ Data Science

A systematic metadata harvesting workflow for analysing scientific networks

Analyzes the top 10 most "important" characters in the Harry Potter universe using centrality metrics (degree centrality, eigenvector centrality, closeness centrality)