Temporal analysis of the ether-flow network on ethereum

Ethereum has grown significantly since its launch in 2015, driving more in-depth analysis into its network properties in the past few years. In particular, the vast amount of information available on cryptocurrencies has enabled researchers to analyse the network from a graph theory perspective. Maj...

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Main Author: Bhat Namita Gireesh
Other Authors: Anwitaman Datta
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/148113
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1481132021-04-23T14:27:56Z Temporal analysis of the ether-flow network on ethereum Bhat Namita Gireesh Anwitaman Datta School of Computer Science and Engineering Anwitaman@ntu.edu.sg Engineering::Computer science and engineering Ethereum has grown significantly since its launch in 2015, driving more in-depth analysis into its network properties in the past few years. In particular, the vast amount of information available on cryptocurrencies has enabled researchers to analyse the network from a graph theory perspective. Majority of the studies are focused on the smart contract ecosystem while a few have delved into deanonymization techniques and link prediction. However, financial transaction networks, including cryptocurrencies, are constantly evolving and static graph measures are not sufficient to capture the dynamic properties of the network. This project analyses the temporal aspect of the Ether flow network from 2015 to 2020 using several metrics to characterizes user behaviour and network properties. This is followed by an in-depth analysis of Ether flow on Binance, a centralised cryptocurrency exchange, from 2017 to 2020. By incorporating the time aspect into network analysis, this project compares and contrasts user behaviour during different time periods of the Ethereum network. Ether transactions are collected from a well-maintained public dataset on Google’s BigQuery platform and the Python-based NetworkX library is used to analyse properties of the network. A key finding for this project is that the price of Ether might be a key factor for determining user behaviour on exchanges but is not reflective of overall user behaviour on the network. Bachelor of Engineering (Computer Science) 2021-04-23T14:27:56Z 2021-04-23T14:27:56Z 2021 Final Year Project (FYP) Bhat Namita Gireesh (2021). Temporal analysis of the ether-flow network on ethereum. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/148113 https://hdl.handle.net/10356/148113 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering
spellingShingle Engineering::Computer science and engineering
Bhat Namita Gireesh
Temporal analysis of the ether-flow network on ethereum
description Ethereum has grown significantly since its launch in 2015, driving more in-depth analysis into its network properties in the past few years. In particular, the vast amount of information available on cryptocurrencies has enabled researchers to analyse the network from a graph theory perspective. Majority of the studies are focused on the smart contract ecosystem while a few have delved into deanonymization techniques and link prediction. However, financial transaction networks, including cryptocurrencies, are constantly evolving and static graph measures are not sufficient to capture the dynamic properties of the network. This project analyses the temporal aspect of the Ether flow network from 2015 to 2020 using several metrics to characterizes user behaviour and network properties. This is followed by an in-depth analysis of Ether flow on Binance, a centralised cryptocurrency exchange, from 2017 to 2020. By incorporating the time aspect into network analysis, this project compares and contrasts user behaviour during different time periods of the Ethereum network. Ether transactions are collected from a well-maintained public dataset on Google’s BigQuery platform and the Python-based NetworkX library is used to analyse properties of the network. A key finding for this project is that the price of Ether might be a key factor for determining user behaviour on exchanges but is not reflective of overall user behaviour on the network.
author2 Anwitaman Datta
author_facet Anwitaman Datta
Bhat Namita Gireesh
format Final Year Project
author Bhat Namita Gireesh
author_sort Bhat Namita Gireesh
title Temporal analysis of the ether-flow network on ethereum
title_short Temporal analysis of the ether-flow network on ethereum
title_full Temporal analysis of the ether-flow network on ethereum
title_fullStr Temporal analysis of the ether-flow network on ethereum
title_full_unstemmed Temporal analysis of the ether-flow network on ethereum
title_sort temporal analysis of the ether-flow network on ethereum
publisher Nanyang Technological University
publishDate 2021
url https://hdl.handle.net/10356/148113
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