Polkadot Graph Analysis

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Project Description

"Polkadot Graph Analysis" is an ongoing research project investigating the dynamics of a cryptocurrency network through transaction graph analysis. The project involves extracting and analyzing data from the Polkadot blockchain to understand transaction patterns, network structure, and potential anomalies. The contributions will span a broad spectrum: Beginning with the definition and categorization of transactions in the Polkadot network, the project's main goal is to design and build the full transaction graph to support further analysis rooted in sound graph theory. This analytical approach will allow the application of several metrics, including degree distribution, strongly/weakly connected components, density, and various centrality measures that will be useful in assessing many properties of the Polkadot network.
Program - Computer Science
Division - Computer, Electrical and Mathematical Sciences and Engineering
Faculty Lab Link - https://cri-lab.net
Center Affiliation - Resilient Computing and Cybersecurity Center
Field of Study - Computer Science

About the
Researcher

Roberto Di Pietro

Professor, Computer Science

Roberto Di Pietro

Desired Project Deliverables

The expected outcome of this project is twofold. The student is expected to investigate the complex Polkadot environment to categorize on-chain events and data. Secondly, the student will develop a novel tool to parse the Polkadot ledger efficiently and build the corresponding transaction graph.

RECOMMENDED STUDENT ACADEMIC & RESEARCH BACKGROUND

Final year or BS in Computer Science
Final year or BS in Computer Science
Good network skills
Good network skills
Good programming skills
Good programming skills