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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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2021
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| Online Access: | https://hdl.handle.net/10356/148113 |
| _version_ | 1811693314904162304 |
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| author | Bhat Namita Gireesh |
| author2 | Anwitaman Datta |
| author_facet | Anwitaman Datta Bhat Namita Gireesh |
| author_sort | Bhat Namita Gireesh |
| collection | NTU |
| 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. |
| first_indexed | 2024-10-01T06:49:43Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/148113 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:49:43Z |
| publishDate | 2021 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-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 |
| spellingShingle | Engineering::Computer science and engineering Bhat Namita Gireesh Temporal analysis of the ether-flow network on ethereum |
| title | 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_short | Temporal analysis of the ether-flow network on ethereum |
| title_sort | temporal analysis of the ether flow network on ethereum |
| topic | Engineering::Computer science and engineering |
| url | https://hdl.handle.net/10356/148113 |
| work_keys_str_mv | AT bhatnamitagireesh temporalanalysisoftheetherflownetworkonethereum |