Impact of Black Swan Events on Ethereum Blockchain ERC20 Token Transaction Networks
Moturi Pradeep, Uday Kumar Reddy Dyapa, Sarika Jalan, Priodyuti, Pradhan

TL;DR
This study analyzes how Black Swan events like the 2018 crypto crash and COVID-19 pandemic affected ERC20 token transaction networks on Ethereum, revealing shifts in trader behavior and ecosystem maturity using network science and differential geometry.
Contribution
It provides a comprehensive analysis of ERC20 transaction networks during major Black Swan events, highlighting behavioral changes and ecosystem evolution with large-scale transaction data.
Findings
Post-crash, wealth dispersed among traders.
Trader behavior shifted to buy and sell during crises.
No significant negative impact of COVID-19 on user activity.
Abstract
The Ethereum blockchain and its ERC20 token standard have revolutionized the landscape of digital assets and decentralized applications. ERC20 tokens developed on the Ethereum blockchain have gained significant attention since their introduction. They are programmable and interoperable tokens, enabling various applications and token economies. Transaction graphs, representing the flow of the value between wallets within the Ethereum network, have played a crucial role in understanding the system's dynamics, such as token transfers and the behavior of traders. Here, we explore the evolution of daily transaction graphs of ERC20 token transactions, which sheds light on the trader's behavior during the Black Swan Events -- 2018 crypto crash and the COVID-19 pandemic. By using the tools from network science and differential geometry, we analyze 0.98 billion of ERC20 token transaction data…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsBlockchain Technology Applications and Security
