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基于轨迹聚类分析的中国人文领域核心学者成长模式研究

彭贤哲 张瑜 孟德杰 石进

现代情报2025,Vol.45Issue(5):139-151,13.
现代情报2025,Vol.45Issue(5):139-151,13.DOI:10.3969/j.issn.1008-0821.2025.05.013

基于轨迹聚类分析的中国人文领域核心学者成长模式研究

Study on the Growth Pattern of Core Scholars in the Chinese Humanities Field Based on Trajectory Cluster Analysis

彭贤哲 1张瑜 1孟德杰 1石进1

作者信息

  • 1. 南京大学信息管理学院,江苏 南京 210023
  • 折叠

摘要

Abstract

[Purpose/Significance]Clarifying the growth pattern of core scholars in the Chinese humanities is condu-cive to providing practical references for the formulation or adjustment of Chinese policies on cultivating and rewarding tal-ents in this field,and promoting the construction of Chinese new liberal arts from the perspective of talent development.[Method/Process]In order to excavate the potentially common growth patterns of core scholars in the Chinese humanities,this study constructed a record of the temporal changes in their research productivity,academic influence,and comprehen-sive competence from a retrospective perspective,and demonstrated their generalized academic growth patterns in three as-pects through Dynamic Time Warping and trajectory clustering algorithms.[Results/Conclusion]The results indicate that the growth patterns of research productivity among core scholars in Chinese humanities field are diverse.The academic influ-ence and comprehensive capabilities of core scholars in philosophy and literature tend to develop in the later stages,but the discipline of history tends to concentrate in the early stages.The growth of academic capabilities in these three aspects typi-cally shows a synchronicity effect.The phased characteristics,disciplinary differences,and combination rules of scholars'growth patterns provide guidance for the formulation of evaluation methods,evaluation cycles,and evaluation mechanisms for talents in this field.

关键词

轨迹聚类分析/中国人文领域/核心学者/成长模式/CSSCI

Key words

trajectory clustering algorithms/Chinese humanities field/core scholars/growth pattern/CSSCI

引用本文复制引用

彭贤哲,张瑜,孟德杰,石进..基于轨迹聚类分析的中国人文领域核心学者成长模式研究[J].现代情报,2025,45(5):139-151,13.

基金项目

国家社会科学基金一般项目"面向国家安全的科技情报态势感知研究"(项目编号:21BTQ012). (项目编号:21BTQ012)

现代情报

OA北大核心

1008-0821

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