Cuneyt Akçora - TDA on Networks – Applications and Scalability Issues

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.

Intro
Topological Data Analysis - Why?
Topological Data Analysis (TDA) - Motivation
Topological Data Analysis - Persistent Homology
Topological Data Analysis of Ethereum Networks
Predictive Models - A Fusion of Network Analysis and 1
Research questions
Network features
Experiment 1: Detecting undisclosed payments
Experiment 2: Predicting a new family
TDA - Persistent Homology or TDAMapper