{"title":"Toward Web3 Applications: Easing the Access and Transition","authors":"Guangsheng Yu;Xu Wang;Qin Wang;Tingting Bi;YiFei Dong;Ren Ping Liu;Nektarios Georgalas;Andrew Reeves","doi":"10.1109/TCSS.2024.3382582","DOIUrl":null,"url":null,"abstract":"Web3 is leading a wave of the next generation of web services that even many Web2 applications are keen to ride. However, the lack of Web3 background for Web2 developers hinders easy and effective access and transition. On the other hand, Web3 applications desire encouragement and advertisement from conventional Web2 companies and projects due to their low market shares. In this article, we propose a seamless transition framework that transits Web2 to Web3, named \n<sc>WebttCom</small>\n [\n<sc>WebttCom</small>\n stands for Web2 (two)–Web3 (three) Communicator], after exploring the connotation of Web3 and the key differences between Web2 and Web3 applications. We also provide a full-stack implementation as a use case to support the proposed framework, followed by performance evaluation and surveys with \n<inline-formula><tex-math>$\\sim$</tex-math></inline-formula>\n1000 participants that show \n<inline-formula><tex-math>$\\sim$</tex-math></inline-formula>\n80% positive and \n<inline-formula><tex-math>$\\sim$</tex-math></inline-formula>\n20% neutral responses. We confirm that the proposed framework \n<sc>WebttCom</small>\n addresses the defined research question, and the implementation well satisfies the framework \n<sc>WebttCom</small>\n in terms of strong \n<italic>necessity</i>\n, \n<italic>usability</i>\n, and \n<italic>completeness</i>\n based on the survey results.","PeriodicalId":13044,"journal":{"name":"IEEE Transactions on Computational Social Systems","volume":"11 5","pages":"6098-6111"},"PeriodicalIF":4.5000,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Computational Social Systems","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10505933/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}
引用次数: 0
Abstract
Web3 is leading a wave of the next generation of web services that even many Web2 applications are keen to ride. However, the lack of Web3 background for Web2 developers hinders easy and effective access and transition. On the other hand, Web3 applications desire encouragement and advertisement from conventional Web2 companies and projects due to their low market shares. In this article, we propose a seamless transition framework that transits Web2 to Web3, named
WebttCom
[
WebttCom
stands for Web2 (two)–Web3 (three) Communicator], after exploring the connotation of Web3 and the key differences between Web2 and Web3 applications. We also provide a full-stack implementation as a use case to support the proposed framework, followed by performance evaluation and surveys with
$\sim$
1000 participants that show
$\sim$
80% positive and
$\sim$
20% neutral responses. We confirm that the proposed framework
WebttCom
addresses the defined research question, and the implementation well satisfies the framework
WebttCom
in terms of strong
necessity
,
usability
, and
completeness
based on the survey results.
期刊介绍:
IEEE Transactions on Computational Social Systems focuses on such topics as modeling, simulation, analysis and understanding of social systems from the quantitative and/or computational perspective. "Systems" include man-man, man-machine and machine-machine organizations and adversarial situations as well as social media structures and their dynamics. More specifically, the proposed transactions publishes articles on modeling the dynamics of social systems, methodologies for incorporating and representing socio-cultural and behavioral aspects in computational modeling, analysis of social system behavior and structure, and paradigms for social systems modeling and simulation. The journal also features articles on social network dynamics, social intelligence and cognition, social systems design and architectures, socio-cultural modeling and representation, and computational behavior modeling, and their applications.