摘要
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。
The IETF is a relatively authoritative technical standardization organization in the global Internet.In order to analyze the standardization experts in various professional fields in the IETF and identify the research hotspots of the current Internet standards,a prototype for discovering the communities of the IETF experts is designed.This system analyzes and stores various data sources of the IETF,cleans and merges the data,and uses the optimized and improved Louvain algorithm for the community discovery.Then the system divides the experts into a number of different Internet professional fields,and mines the active experts in various professional fields,and uses the TF-IDF algorithm to mine its research hotspots.So the system can provide accurate and dynamic information for China to develop the Internet international standards.
作者
叶小榕
邵晴
YE Xiaorong;SHAO Qing(Institute of Scientific and Technical Information of China,Beijing 100038,China;KNET Co.,Ltd.,Beijing 100190,China)
出处
《科技导报》
CAS
CSCD
北大核心
2019年第24期100-110,共11页
Science & Technology Review