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2. KNET Co., Ltd., Beijing 100190, China, fund=null, authors=YE Xiaorong¹, SHAO Qing², authorsList=YE Xiaorong, SHAO Qing), CN=ArticleExt(id=1242137960154472691, articleId=1242137958048932077, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=挖掘IETF专家社区的原型系统, columnId=1146540929516700224, journalTitle=科技导报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=IETF是全球互联网较权威的技术标准化组织。为分析IETF各个专业领域内的标准化专家，更好地掌握当前互联网标准的研究热点，设计了挖掘IETF专家社区的原型系统。该系统可对IETF的多种数据来源进行针对性的解析和存储，对数据进行清洗和合并，利用优化和改进后的Louvain算法进行社区发现，从而将专家划分到多个不同的互联网专业领域方向，随后挖掘出各个专业领域内的活跃专家，并采用TF-IDF算法挖掘出研究热点，能为制定互联网国际标准提供准确的动态信息。, correspAuthors=null, authorNote=叶小榕,高级工程师,研究方向为计算机软件、数字图书馆,电子信箱:yeelfine@sina.com, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=TYRU9E37GEXu/vyIYE7TMg==, pdfFileSize=1814424, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=1. 中国科学技术信息研究所, 北京 100038;
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