Patterns of User Behavior and Token Adoption on ERC20

Abstract Cryptocurrencies and Blockchain-based technologies are disrupting markets across the globe. While the potential development of such technologies remains unclear, there is a current need to understand emergent patterns of user behavior and token adoption in order to design fut...

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Main Authors: Morales, Alfredo J., Somin, Shahar, Altshuler, Yaniv, Pentland, Alex S.
Other Authors: Massachusetts Institute of Technology. Media Laboratory
Format: Article
Language:English
Published: Springer Nature Singapore 2023
Online Access:https://hdl.handle.net/1721.1/152359
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author Morales, Alfredo J.
Somin, Shahar
Altshuler, Yaniv
Pentland, Alex S.
author2 Massachusetts Institute of Technology. Media Laboratory
author_facet Massachusetts Institute of Technology. Media Laboratory
Morales, Alfredo J.
Somin, Shahar
Altshuler, Yaniv
Pentland, Alex S.
author_sort Morales, Alfredo J.
collection MIT
description Abstract Cryptocurrencies and Blockchain-based technologies are disrupting markets across the globe. While the potential development of such technologies remains unclear, there is a current need to understand emergent patterns of user behavior and token adoption in order to design future products and cryptocurrencies. In this paper, we analyze the social dynamics taking place on the Ethereum platform ERC20 during their daily operations. We study two months of transactions among users on ERC20 using network theory. We analyze structural properties of networks that emerge as users exchange digital tokens. Network science provides a framework to analyze the behavior of social groups, with emphasis on their interactions. We characterize user behaviors based on their network connectivity, portfolio diversity and patterns of token adoption. Our results show that while most users are specialized and transact with a few tokens, a few of them transact with diverse portfolios, bridging and interconnecting large parts of the network. We believe this work to be a foundation for unveiling the usage dynamics of cryptocurrencies networks.
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spelling mit-1721.1/1523592024-01-05T19:01:37Z Patterns of User Behavior and Token Adoption on ERC20 Morales, Alfredo J. Somin, Shahar Altshuler, Yaniv Pentland, Alex S. Massachusetts Institute of Technology. Media Laboratory MIT Connection Science (Research institute) Abstract Cryptocurrencies and Blockchain-based technologies are disrupting markets across the globe. While the potential development of such technologies remains unclear, there is a current need to understand emergent patterns of user behavior and token adoption in order to design future products and cryptocurrencies. In this paper, we analyze the social dynamics taking place on the Ethereum platform ERC20 during their daily operations. We study two months of transactions among users on ERC20 using network theory. We analyze structural properties of networks that emerge as users exchange digital tokens. Network science provides a framework to analyze the behavior of social groups, with emphasis on their interactions. We characterize user behaviors based on their network connectivity, portfolio diversity and patterns of token adoption. Our results show that while most users are specialized and transact with a few tokens, a few of them transact with diverse portfolios, bridging and interconnecting large parts of the network. We believe this work to be a foundation for unveiling the usage dynamics of cryptocurrencies networks. 2023-10-03T19:19:46Z 2023-10-03T19:19:46Z 2023-09-29 2023-09-30T03:20:14Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/152359 SN Computer Science. 2023 Sep 29;4(6):753 en https://doi.org/10.1007/s42979-023-02200-6 Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd application/pdf Springer Nature Singapore Springer Nature Singapore
spellingShingle Morales, Alfredo J.
Somin, Shahar
Altshuler, Yaniv
Pentland, Alex S.
Patterns of User Behavior and Token Adoption on ERC20
title Patterns of User Behavior and Token Adoption on ERC20
title_full Patterns of User Behavior and Token Adoption on ERC20
title_fullStr Patterns of User Behavior and Token Adoption on ERC20
title_full_unstemmed Patterns of User Behavior and Token Adoption on ERC20
title_short Patterns of User Behavior and Token Adoption on ERC20
title_sort patterns of user behavior and token adoption on erc20
url https://hdl.handle.net/1721.1/152359
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