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作 者:邰杨芳[1,2] 陈新国[1] Tai Yangfang Chen Xinguo(School of Economics & Management, Taiyuan University 030024 Management School of Shanx Medical University, 030001)
机构地区:[1]太原理工大学经济管理学院,太原030024 [2]山西医科大学管理学院.太原030001
出 处:《信息资源管理学报》2016年第4期83-90,共8页Journal of Information Resources Management
基 金:国家社科基金项目“基于框架网络本体的标签系统语义分析研究”(13TCQ030)的研究成果之一
摘 要:社会标注作为当前web2.0环境下一种重要的网络信息资源的组织方式,受到情报学研究领域学者们的广泛关注,国内相关的研究也越来越多。本文运用了社会网络分析法、共词聚类分析法和词频分析法对现有相关研究文献进行分析,揭示该领域的科学研究结构,重点分析该领域的科研合作团体及其研究主题、当前研究热点及未来研究趋势,旨在促进领域内科研合作与交流、提供社会标注领域的未来研究方向。Social tagging,as an important way of network information resource organization in current web2.0 environment, has received extensive attention from scholars in the field of information science and more and more research and work relating to social tagging have been done in China. Using methods of so- cial network analysis, clustering analysis and word frequency analysis, this paper, taking the existing rele- vant research literature of China as the analyzed object, reveals the scientific research structure of social tagging. Its analysis focuses mainly on the scientific research cooperation groups and their research topics, the current research hotspots and the future research trends. The work of this paper is aiming to promote the cooperation and exchanges between scholars and their groups, to provide referenced topics and research di- rection for the future research.
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