Quantitative Analysis of Interdisciplinary Knowledge Integration in the Field of Humanities and Social Sciences in China
[Purpose/significance]In the context of promoting interdisciplinary integration in the construction of new humanities and social sciences,quantitatively analyzing the cross-disciplinary knowledge integration in the field of humanities and social sciences in China is conducive to promoting innovative of disciplinary knowledge and is of great significance for disciplinary development.[Method/process]Using the citation relationships of 23 disciplines in the field of humanities and social sciences in China from 2015 to 2022 as data sources,this study measures the degree of cross-disciplinary knowledge integration,the relevance of knowledge inte-gration,and the potential for knowledge integration.Panel data regression analysis is used to explore the impact of cross-disciplinary knowledge integration characteristics on the effectiveness-of knowledge integration.[Result/conclusion]The results of the study show that cross-disciplinary knowledge integration is influenced by disciplinary nature,with social sciences having a higher degree of knowledge integration compared to humanities.There is a significant advantage in the relevance of knowledge integration among closely related disciplines,with humanities leaning more towards relevance integration and social sciences leaning more towards poten-tial integration.In terms of the effectiveness of knowledge integration,the strength of relevance and potential integration are positively correlated with the effectiveness of knowledge integration,but potential integration driving is more beneficial to the enhancement of disciplinary influence.[Innovation/limitation]Exploring the characteristics and laws of interdisciplinary knowledge integration based on citation relationships is helpful for optimizing the paths of interdisciplinary knowledge integration,and using other relationships is a direction for further improvement.
degree of knowledge integrationrelevance of knowledge integrationpotential of knowledge integrationeffect of knowl-edge integrationpanel data regression analysis
NETL
NSTL
万方数据
