论文层面计量视角下的核心文献价值测度与识别研究——以人工智能领域为例

发布时间：2019-01-23 12:24

【摘要】：[目的/意义]从论文层面计量角度出发,针对不同科研人员阅读文献的需求,综合传统计量指标和新型社媒网络指标,提出核心文献价值测度与识别的思路与框架,进而为领域科学研究推进、科研管理服务开展提供一定的参考。[方法/过程]将核心文献划分为经典、热门和前沿三类,综合多重指标运用熵权法和主成分分析方法构建文献价值测度体系,并以人工智能领域为例进行实证研究。[结果/结论]实现了针对不同科研需求的人工智能领域核心文献识别与推荐,揭示了不同类型核心文献所属方向、所载期刊、所选指标、时序影响等方面的差异。[局限]纯粹客观赋权法存在权重设定偶然性和不确定性的局限,需进一步改进。
[Abstract]:[objective / significance] from the point of view of paper level measurement, aiming at the need of different researchers to read the literature, combining the traditional measurement index and the new social media network index, the paper puts forward the idea and frame of core literature value measurement and recognition. Then it provides a certain reference for the promotion of scientific research in the field and the development of scientific research management services. [methods / process] the core literature is divided into three categories: classical, popular and frontier. The paper uses entropy weight method and principal component analysis method to construct the document value measurement system, and takes artificial intelligence as an example to carry on the empirical research. [results / conclusion] the identification and recommendation of the core documents in the field of artificial intelligence for different scientific research needs are realized, and the differences in the direction, journals, selected indexes and timing effects of different types of core documents are revealed. The pure objective weighting method has the limitation of contingency and uncertainty of weight setting, which needs further improvement.
【作者单位】：北京工业大学经济与管理学院;山东理工大学马克思主义学院;
【基金】：国家社会科学基金青年项目“基于多维信息计量分析的学术影响力综合评价研究”(项目编号:15CTQ023) 北京市教委社科计划一般项目“面向科研评价的多维信息计量指标比较性融合与应用研究”(项目编号:SM201610005002) 北京工业大学人文社会科学基金项目“科学计量学2.0视角下的高校教师学术评价机制研究”(项目编号:011000514315509)的成果
【分类号】：G353.1

【参考文献】