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

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

Zentralitätsanalyse der Burschenschaft Germania in Marburg

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

💰 Analysis code of the paper published in EPJ Data Science

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

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)