Data Analysis

Teaching

• A Watchtower for Discovering the Nostr Ecosystem | Teaching

  Notes and Other Stuff Transmitted by Relays (Nostr) is a decentralized communication system built on open protocols, enabling censorship-resistant and permissionless information exchange. Its development is driven by Nostr Improvement Proposals (NIPs), which define modular features that developers implement selectively, leading to an intentionally highly flexible and diverse ecosystem. This project aims to analyze Nostr from both a data-driven and software-engineering perspective, examining its usage patterns, architectural variations, and the broader implications of its decentralized design and development paradigm.

• Creating A Graph Dataset For The Android Framework | Teaching

  Context

  Static- and Dynamic Taint Analysis is a technique to track the flow of information in software. However, the analysis of the Android Framework is challenging because of the complexity of the framework. Therefore, it is essential to create a graph dataset of the Android Framework to analyze the flow of sensitive information in the framework. Currently, there is no dataset available that represents the Android Framework as a graph. Aim of this project is to create a graph dataset of the Android Framework that represents the code in a structure that can effectively be queried for taint analysis.

• Understanding the Bitcoin Ecosystem: A Graph-Based Exploration of BIPs | Teaching

  Bitcoin Improvement Proposals (BIPs) are essential to the evolution of the Bitcoin protocol, characterized by both their individual attributes (e.g., status, categories) and interrelationships (e.g., dependencies, succession). This project aims to mine and structure BIP data, archiving it in a browsable format that captures both these characteristics and connections. Through graph-based visualizations and analysis, we seek to enable a more interactive exploration of the BIP landscape, enhancing both understanding and insight into the proposals and their roles within the ecosystem.