Article(id=1242139327304639252, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242139306463142588, articleNumber=null, orderNo=19, doi=10.3981/j.issn.1000-7857.2021.14.013, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1598198400000, receivedDateStr=2020-08-24, revisedDate=1620316800000, revisedDateStr=2021-05-07, acceptedDate=null, acceptedDateStr=null, onlineDate=1630991387837, onlineDateStr=2021-09-07, pubDate=1627401600000, pubDateStr=2021-07-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1630991387837, onlineIssueDateStr=2021-09-07, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078693458, creator=sys-migrate, updateTime=1774078693458, updator=sys-migrate, issue=Issue{id=1242139306463142588, tenantId=1146029695717560320, journalId=1146031591421210625, year='2021', volume='39', issue='14', pageStart='0', pageEnd='172', issueExtLink='null', onlineDate='null', pubDate='1627401600000', pubDateStr='2021-07-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078688489, creator='sys-migrate', updateTime=1774078688489, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=129, endPage=143, ext={EN=ArticleExt(id=1242139330974655287, articleId=1242139327304639252, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=The functions and the significance of online games in COVID-19 prevention and control: An empirical analysis of online interactive data during the epidemic period, columnId=1150494644690366681, journalTitle=Science & Technology Review, columnName=Papers, runingTitle=null, highlight=null, articleAbstract=Based on the parallel system theory and the CPP multi-space intelligent analysis theory, this paper discusses the relationship among the network virtual space,the real physical space and the social-psychological space, to find a way to build a big data analysis framework for the epidemic prevention and control, by using the mass real-time interaction data to carry out an empirical analysis from three aspects:the prediction of COVID-19, the feed back of the work resumption, and the influences on the public awareness of COVID-19. It is found that the interactive data of the online games can be used to predict the outbreak and the evolution of the epidemics to a certain extent, to accurately restore the status of work resumption, and to effectively improve the public awareness of the epidemics. As an important analysis tool, the online game interactive data can effectively fill the "blind area" and break the limitations of the traditional network big data tools in the epidemic prevention and control, enrich the epidemic prevention and control response mechanism, and play a positive role in building a more comprehensive social management system., authors=QIAN Xuesheng^1,2,3, HU Anan^1,4, DAI Weihui^1,2, LING Hong^1,2, authorsList=QIAN Xuesheng, HU Anan, DAI Weihui, LING Hong, authorCompany=1. Smart City Research Center, Fudan University, Shanghai 200433, China;
2. School of Management, Fudan University, Shanghai 200433, China;
3. Macau Institute of System Engineering, Macau University of Science and Technology, Macau 999078, China;
4. Department of Tourism, Fudan University, Shanghai 200433, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=0kBWTSl5brFdedmcFxG//A==, pdfFileSize=5521345, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242139329330488099, articleId=1242139327304639252, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=网络游戏在疫情防控中的作用及意义：基于疫情期间在线交互数据的实证分析, columnId=1146540929516700224, journalTitle=科技导报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=基于平行系统理论和多空间智能分析方法，围绕网络虚拟空间、现实物理空间、社会心理空间三者间的作用关系，提出疫情防控大数据分析框架，并使用真实在线交互数据，从预测疫情发展、反馈复产复工情况、影响群体疫情认知3个方面进行了实证分析。研究发现，网络游戏交互数据可以在一定程度上预测疫情的暴发和演进情况，能够较为准确地还原社会复产复工情况，可以有效改善社会群体对于疫情的认知。以网络游戏为代表的网络交互数据能够有效填补疫情防控工作中存在的“触达盲区”和传统大数据资源的应用局限，帮助政府和社会丰富疫情防控应对机制，对于构建更加完备的社会治理体系具有积极的作用。, authors=钱学胜^1,2,3, 胡安安^1,4, 戴伟辉^1,2, 凌鸿^1,2, authorsList=钱学胜, 胡安安, 戴伟辉, 凌鸿, authorCompany=1. 复旦大学智慧城市研究中心, 上海 200433;
2. 复旦大学管理学院, 上海 200433;
3. 澳门系统工程研究所, 澳门 999078;
4. 复旦大学旅游学系, 上海 200433, correspAuthors=null, authorNote=钱学胜,高级研究员,研究方向为数据智能与融合应用,电子信箱:qianxuesheng@fudan.edu.cn, correspAuthorsNote=胡安安(通信作者),副教授,研究方向为大数据商业模式创新,电子信箱:huanan@fudan.edu.cn, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=auqD9MzxSni2bWUnkx1Z3Q==, pdfFileSize=5521345, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=教育部哲学社会科学研究重大课题攻关项目（19JZD010）；教育部人文社会科学研究规划基金项目（18YJA630019）；国家自然科学基金面上项目（72074052）；上海市哲学社会科学规划课题（2019BGL031）)}, authors=null, keywords=[Keyword(id=1242139328852337435, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242139327304639252, language=CN, orderNo=1, keyword=疫情防控), Keyword(id=1242139328940417821, tenantId=1146029695717560320, journalId=1146031591421210625, 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