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Journal of Scientific Information Research

Keywords

interdisciplinary; knowledge system expansion; kinetic energy theory; citation sentiment

Abstract

[Purpose/significance] Under the context of New Liberal Arts construction, the resolution of many major scientific and technological issues requires transcending traditional disciplinary boundaries. By identifying and integrating interdisciplinary knowledge, it becomes possible to grasp the direction of disciplinary development and predict emerging innovative trends. [Method/process] This study takes the full-text information of articles from six academic journals in China's library and information science (LIS) from 2017 to 2021 as its research object. Drawing on the kinetic energy theory from physics, it constructs a kinetic energy model for interdisciplinary knowledge integration from the dual dimensions of quoting scholars driving force and disciplinary attraction, and conducts empirical research.[Result/conclusion] The results indicate that the disciplinary gravitation coefficient can effectively quantify the gravitational effect of a disciplinary knowledge system on interdisciplinary knowledge, helping to characterize the expansion effect of the peripheral boundaries of the disciplinary knowledge system from the perspective of kinetic energy. The study also reveals that the development of library and information science exhibits significant technology-driven and social management-oriented characteristics. In terms of knowledge categories, the expansion of the library and information science knowledge system is primarily driven by thematic concepts and technological methods, while theoretical models are consistently sourced from sociology, management, and computer science. Indicator tools, however, face certain limitations due to their disciplinary attributes and adaptability factors.

First Page

36

Last Page

46

Submission Date

25-Aug-2025

Revision Date

24-Nov-2025

Acceptance Date

28-Nov-2025

Published Date

01-Apr-2026

Reference

[1] 程结晶, 王齐, 朱明龙.中国信息资源管理学科建设与教育发展研究: 基于第二届信息资源管理教育与学科发展高端论坛专家报告的分析[J].情报理论与实践, 2024, 47(5): 39-47.
[2] 教育部.新文科建设宣言[EB/OL].(2020-11-03)[2025-6-28].http: //www.moe.gov.cn/jyb_xwfb/gzdt_gzdt/s5987/202011/t20201103_498067.html.
[3] 李亚婷.图书情报学的学科交叉研究进展[J].情报科学, 2017, 35(11): 156-160, 171.
[4] 范晴晴, 李长玲, 荣国阳, 等.跨学科输入知识对学科发展的影响力分析: 以图书情报学科为例[J].情报科学, 2023, 41(2): 79-85.
[5] 杜静, 魏江.知识存量的增长机理分析[J].科学学与科学技术管理, 2004(1): 24-27.
[6] 李长玲, 荣国阳, 申力旭, 等.学科动能理论及其在学科影响力评价中的应用: 以情报学为例[J].图书情报工作, 2022, 66(23): 4-12.
[7] FRANK R. “Interdisciplinarity" : The First Half Century[J]. Items, 1988, 42(3): 73-77.
[8] 叶鹰, 张家榕, 张慧.知识流动与跨学科研究之关联[J].图书与情报, 2020(3): 29-33.
[9] 岳增慧, 许海云.学科知识扩散过程探测研究: 以社会网络领域为例[J].图书情报工作, 2016, 60(9): 106-115.
[10] 牌艳欣, 李长玲, 徐璐.弱引文关系视角下跨学科相关知识组合识别方法探讨: 以情报学为例[J].图书情报工作, 2020, 64(21): 111-119.
[11] 杜德慧, 刘超.基于引用的潜在跨学科知识组合识别方法探究[J].知识管理论坛, 2022, 7(4): 407-416.
[12] 李长玲, 牌艳欣, 荣国阳, 等.基于社交媒体弱关系的跨学科相关知识组合识别[J].情报理论与实践, 2020, 64(21): 111-119.
[13] XU J, BU Y, DING Y, et al.Understanding the formation of interdisciplinary research from the perspective of keyword evolution: A case study on joint attention[J].Scientometrics, 2018, 117(2): 973-995.
[14] 张瑞, 赵栋祥, 唐旭丽, 等.知识流动视角下学术名词的跨学科迁移与发展研究[J].情报理论与实践, 2020, 43(1): 47-55, 75.
[15] ZHAI Y J, DING Y, WANG F.Measuring the diffusion of an innovation: A citation analysis[J].Journal of the Association for Information Science and Technology, 2018, 69(3): 368-379.
[16] BASURTO-FLORES R, GUZMÁN-VARGAS L, VELASCOS.et al.On entropy research analysis: Cross-disciplinary knowledge transfer[J].Scientometrics, 2018, 117(10): 123-139.
[17] 刘丽帆, 张恒, 章成志.基于学术文献引文内容的跨学科知识流动研究[J].情报理论与实践, 2022, 45(6): 24-31, 47.
[18] 张锦文, 庄若澜, 赵雅洁, 等.跨学科知识扩散研究综述: 测度、过程与影响因素[J].情报理论与实践, 2024, 47(12): 195-206, 194.
[19] 徐晴.图书情报学跨学科知识转移研究[D].武汉: 武汉大学, 2016.
[20] 孟祥保.图书情报学交叉融合与发展: 基于国外35种核心期刊的引文分析[J].图书情报知识, 2012(5): 50-58.
[21] 田大芳.图书情报学期刊互引网络结构分析[J].情报杂志, 2009, 28(6): 48-51, 29.
[22] 陈传夫, 王云娣.中美图书馆学借用知识的比较观察: 基于十年引文的分析[J].中国图书馆学报, 2010, 36(6): 20-27.
[23] CHANG Y W, HUANG M H.A study of the evolution of interdisciplinarity in library and information science: Using three bibliometric methods[J].Journal of the American Society for Information Science and Technology, 2012, 63(1): 22-33
[24] 李江. “跨学科性" 的概念框架与测度[J].图书情报知识, 2014(3): 87-93.
[25] 柯青, 朱婷婷.图书情报学跨学科期刊引用及知识贡献推进效应: 基于JCR社会科学版的分析[J].情报资料工作, 2017(2): 12-21.
[26] 叶光辉, 彭泽, 李松烨, 等. “能" 与 “势" : 生态学与物理学交叉视角下的跨学科知识交流动力模型研究[J].情报学报, 2024, 43(6): 644-657.
[27] YAN E.Finding knowledge paths among scientific disciplines[J].Journal of the Association for Information Science and Technology, 2014, 65(11): 2331-2347.
[28] PORTER A L, ROESSNER J D, COHEN A S, et al.Interdisciplinary research: Meaning, metrics and nurture[J].Research Evaluation, 2006, 15(3): 187-195.
[29] 中国科学技术信息研究所.2023版中国科技期刊引证报告(核心版社会科学卷)[M].北京: 科学技术文献出版社, 2023.
[30] 中国科学技术信息研究所.2023版中国科技期刊引证报告(核心版自然科学卷)[M].北京: 科学技术文献出版社, 2023.
[31] WANG S Y, MAO J, LI G, et al.Integrated knowledge content in an interdisciplinary field: identification, classification, and application[J].Scientometrics, 2022, 127: 6581-6614.
[32] RONG G, LI C, ZHANG Z, et al.Investigating the application of work-energy metaphor in interdisciplinary citation analysis[J].Scientometrics, 2024, 129(6): 3573-3591.
[33] QUINLAN J R.Induction of decision trees [J].Machine Learning, 1986, 1: 81-106.
[34] 姜霖, 张麒麟.基于引文细粒度情感量化的学术评价研究[J].数据分析与知识发现, 2020, 4(6): 129-138.
[35] 徐琳宏, 林鸿飞, 杨志豪.基于语义理解的文本倾向性识别机制[J].中文信息学报, 2007(1): 96-100.
[36] 陈治, 陈祖刚, 刘志刚.大学物理(上)[M].北京: 清华大学出版社, 2007.
[37] BRILLOUIN L.Science and Information Theory[M].New York: Academic Press, 1962.
[38] BUSH V.As we may think[J].The Atlantic Monthly, 1945, 176: 101-108.
[39] 叶佳鑫, 朱乐, 雷凌云, 等.词汇功能赋能的知识关联挖掘方法[J].情报杂志, 2025, 44(9): 176-184, 195.
[40] 李凌英, 闵超, 孙建军.引文波峰的量化与分布探究[J].情报学报, 2019, 38(7): 697-708.

Digital Object Identifier (DOI)

10.19809/j.cnki.kjqbyj.2026.02.004

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