学科研究热点识别新视角:主题动能——以图书情报领域为例被引量：2

A New Perspective on Identifying Discipline Research Hotspots: Topic Kinetic Energy: Take LIS as an Example

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摘要 [目的/意义]从研究主题的知识生产与扩散两方面识别学科研究热点,有利于明确学科重点,把握学科发展动向,为预测未来研究趋势提供研究基础。[方法/过程]提出主题动能概念,基于研究主题的生产与扩散指标构建主题动能模型,综合分析某时间段某主题的研究质量(横向热度)与速度(纵向变化),识别学科研究热点;并根据多时间段的动能变化情况划分不同类型的研究热点,描述其动态变化。[结果/结论]选择图书情报领域2017—2021年研究文献与引证文献为例进行实证分析,发现主题动能模型能够有效识别当前阶段的学科研究热点;选择2012—2016年和2017—2021年两个时间段的相关数据分析主题动能变化,能够划分学科“前沿型”“稳定型”“衰退型”三种类型研究热点,实现对学科研究的动态描述。 [Purpose/significance] Identifying discipline research hotspots from the knowledge production and diffusion of research topics is conducive to clarifying the focus of current discipline research, grasping the development trend of discipline and providing a research basis for predicting future research direction.[Method/process] This paper proposes the concept of topic kinetic energy, constructs topic kinetic energy model based on the production and diffusion indicators of the research topic.By comprehensively analyzing the research quality(horizontal research heat) and research speed(longitudinal change) of the research topic in a certain period of time, the discipline research hotspots can be effectively identified.And according to the change of the topic kinetic energy in multiple time periods, different types of research hotspots are divided to describe its dynamic changes.[Result/conclusion] The empirical analysis on the literatures and citing literatures of LIS from two time periods of 2012-2016 and 2017-2021 shows that the topic kinetic energy model can effectively identify the current discipline research hotspots, and distinguish three types, namely frontier, stable and declining, to realize the dynamic description of discipline research.

作者栾锟李长玲王欣欣申力旭 Luan Kun

机构地区山东理工大学信息管理研究院

出处《情报理论与实践》 CSSCI 北大核心 2023年第3期16-23,共8页 Information Studies:Theory & Application

基金国家社会科学基金重点项目“跨学科潜在知识生长点识别与创新趋势预测研究”的成果,项目编号:19ATQ006。

关键词主题动能研究热点主题生产动能主题扩散动能识别方法 topic kinetic energy research hotspots topic production kinetic energy topic diffusion kinetic energy identification method

分类号 G353.1 [文化科学—情报学]

作者简介栾锟(ORCID:0000-0002-6284-6605),硕士生;通信作者:李长玲(ORCID:0000-0001-6266-4820,Email:lichl69@163.com),教授,硕士生导师;王欣欣(ORCID:0000-0002-9039-8432),硕士生;申力旭(ORCID:0000-0003-4714-8152),硕士生。