667 citations · 844 across the 28 of their papers we have counts for
7 papers · 1 filter
Dissecting Ethereum Blockchain Analytics: What We Learn from Topology and Geometry of Ethereum Graph
Yitao Li, Umar Islambekov, Cuneyt Akcora +3
Blockchain technology and, in particular, blockchain-based cryptocurrencies offer us information that has never been seen before in the financial world. In contrast to fiat currenc…
Harnessing the power of Topological Data Analysis to detect change points in time series
Umar Islambekov, Monisha Yuvaraj, Yulia R. Gel
We introduce a novel geometry-oriented methodology, based on the emerging tools of topological data analysis, into the change point detection framework. The key rationale is that c…
Unsupervised Space-Time Clustering using Persistent Homology
Umar Islambekov, Yulia Gel
This paper presents a new clustering algorithm for space-time data based on the concepts of topological data analysis and in particular, persistent homology. Employing persistent h…
ChainNet: Learning on Blockchain Graphs with Topological Features
Nazmiye Ceren Abay, Cuneyt Gurcan Akcora, Yulia R. Gel +4
With emergence of blockchain technologies and the associated cryptocurrencies, such as Bitcoin, understanding network dynamics behind Blockchain graphs has become a rapidly evolvin…
BitcoinHeist: Topological Data Analysis for Ransomware Detection on the Bitcoin Blockchain
Cuneyt Gurcan Akcora, Yitao Li, Yulia R. Gel +1
Proliferation of cryptocurrencies (e.g., Bitcoin) that allow pseudo-anonymous transactions, has made it easier for ransomware developers to demand ransom by encrypting sensitive us…
CRAD: Clustering with Robust Autocuts and Depth
Xin Huang, Yulia R. Gel
We develop a new density-based clustering algorithm named CRAD which is based on a new neighbor searching function with a robust data depth as the dissimilarity measure. Our experi…