图书情报工作 ›› 2023, Vol. 67 ›› Issue (1): 131-143.DOI: 10.13266/j.issn.0252-3116.2023.01.016

• 面向信息资源管理的学科建设创新研究 • 上一篇    下一篇

我国人文社会科学领域跨学科知识流动量化分析

谭春辉1,2, 王仪雯1,2   

  1. 1 华中师范大学信息管理学院 武汉 430079;
    2 华中师范大学湖北省电子商务研究中心 武汉 430079
  • 收稿日期:2022-07-15 修回日期:2022-12-29 出版日期:2023-01-05 发布日期:2023-02-09
  • 作者简介:谭春辉,教授,博士,博士生导师,E-mail:tanadan@ccnu.edu.cn;王仪雯,博士研究生。
  • 基金资助:
    本文系华中师范大学2022年度基本科研业务费(人文社科类)交叉科学研究项目“基于大数据的科教智能评价与智慧服务模式研究”(项目编号:CCNU22JC031)研究成果之一。

Quantitative Analysis of Interdisciplinary Knowledge Flow in the Field of Humanities and Social Sciences in China

Tan Chunhui1,2, Wang Yiwen1,2   

  1. 1 School of Information Management, Central China Normal University, Wuhan 430079;
    2 E-commerce Research Center of Hubei Province, Central China Normal University, Wuhan 430079
  • Received:2022-07-15 Revised:2022-12-29 Online:2023-01-05 Published:2023-02-09

摘要: [目的/意义] 学科交叉融合使得学科间知识交流日益频繁,从个体引文网络和整体引文网络入手,对我国人文社会科学领域跨学科知识流动进行量化分析,对“新文科”背景下该领域学科的守正与创新具有重要意义。[方法/过程]以2016-2020年23个学科450本期刊的论文引用关系为数据源,基于个体引文网络,从23个学科自身出发,根据学科互引关系确定模糊规则,利用Matlab进行模糊推理,确定学科知识固化程度;基于整体引文网络,运用“累积”的思想,计算学科知识累积流动率和累积影响力,根据知识流动情况划分学科类型。[结果/结论] 研究结果表明,从个体引文网络视角分析,语言学、体育学、法学综合知识固化程度较高,统计学综合知识固化程度最低;从整体引文网络视角分析,将该领域23个学科根据知识流动划分为3种类型,经济学和管理学的累积影响力最大。研究发现“累积”思想对学科的评价效力优于直接引文分析,能够挖掘“隐藏”的学科知识流动潜在信息,为我国人文社科领域的学科建设和发展提供一定的启示。

关键词: 人文社科领域, 知识流动, 模糊逻辑系统, 累积影响

Abstract: [Purpose/Significance] The interdisciplinary integration makes frequent knowledge exchange between disciplines. Starting from the individual citation network and the overall citation network, the quantitative analysis is applied into interdisciplinary knowledge flow in the field of humanities and social sciences in China, which is of great significance to the discipline's integrity and innovation in this field under the background of "New Liberal Arts".[Method/Process] Citation relationships of 450 journals in 23 disciplines from 2016 to 2020 were used as data sources. Based on the individual citation network, starting from the 23 disciplines themselves, this paper determined the fuzzy rules according to the mutual citation relationship of disciplines, and used Matlab to carry out fuzzy reasoning to determine the degree of discipline knowledge solidification. Based on the overall citation network, this paper used the idea of "accumulation" to calculate the cumulative flow rate and cumulative impact of discipline knowledge, and divide discipline types according to the knowledge flow.[Result/Conclusion] The research results show that from the perspective of individual citation network, the solidification degree of comprehensive knowledge of linguistics, sports science and law is high, and that of statistical is the lowest. From the perspective of the overall citation network, 23 disciplines in this field are divided into three types according to the knowledge flow, and economics and management have the largest cumulative impact. The research found that "accumulation" thought is more effective in evaluating disciplines than direct citation analysis, and it can tap the "hidden" potential information of discipline knowledge flow, which provides some inspiration for the discipline construction and development in the field of humanities and social sciences in China.

Key words: the field of humanities and social sciences, knowledge flow, fuzzy logic system, cumulative impact

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