Explore Topological Data Analysis (TDA) applications on networks and address scalability challenges in this 54-minute talk by Cuneyt Akçora. Dive into the emerging field of TDA, which combines algebraic topology, statistics, and computer science. Learn about three alternative approaches for applying Persistent Homology and TDAMapper-based TDA algorithms to Blockchain networks. Discover practical applications in ransomware payment detection, price prediction, and graph anomaly detection. Gain insights into TDA motivation, Persistent Homology, and the analysis of Ethereum Networks. Examine predictive models that fuse network analysis, research questions, and network features. Investigate experiments on detecting undisclosed payments and predicting new families. Compare Persistent Homology and TDAMapper techniques in TDA applications.