•  
  •  
 

Journal of Scientific Information Research

Keywords

biographical analysis; core authors; intelligence studies; LDA topic mining; national security intelligence; collective profile

Abstract

[Purpose/significance] This study delineates the developmental trajectory and knowledge production characteristics of international national security intelligence research by revealing the collective profile, career development patterns, collaboration network structures, and core research theme evolution of its key scholars. It aims to provide insights and references for promoting the discipline construction of national security intelligence in China. [Method/process] Core authors were selected from the Intelligence and National Security journal based on publication volume criteria. Employing biographical analysis, the information of these international core authors was categorized into four core dimensions—disciplinary background, research direction, research output, and work experience for comparative analysis. Furthermore, LDA topic model was applied to their publications for topic mining to systematically identify the core issues focused on by intelligence researchers. [Result/conclusion] Findings indicate that the core author group is characterized by significant male dominance, a predominance of middle-aged and senior scholars, high institutional concentration, and disciplinary backgrounds heavily leaning towards traditional humanities and social sciences. Security intelligence research faces challenges including insufficient deep interdisciplinary integration, a gap between academia and practice, and lagging discussions on the ethics and law concerning emerging technologies.

First Page

12

Last Page

22

Submission Date

March 2025

Revision Date

April 2025

Acceptance Date

May 2025

Publication Date

January 2026

Digital Object Identifier (DOI)

ꎺ 10.19809/j.cnki.kjqbyj.2026.01.002

Reference

[1] 凡庆涛,杜赟,谢海涛,等.基于文献计量方法的我国情报学领域核心作者分析研究[J].情报工程,2020,6(3),105-119.
[2] 徐健,毛进,叶光辉,等.基于核心作者研究兴趣相似性网络的社群隶属研究:以国内情报学领域为例[J].图书情报工作,2018,62(12),57-64.
[3] 林翔,谢晓专,刘楠.国家安全情报领域核心作者群体特征分析[J].竞争情报,2021,17(1):20-28.
[4] 孟旭,谢靖,李春旺.基于核心主题特征的作者身份识别研究[J].知识管理论坛,2023,8(5):351-364.
[5] 黄月.面向科研服务的多层次作者分析模型及实证研究[J].图书情报工作,2018,62(9):112-122.
[6] XU X,JIA W,TANG M,et al.Author cooperation relationship in digital publishing based on social network analysis[C]//International Conference on Fuzzy Systems and Knowledge Discovery.IEEE,2015:1631-1635.
[7] TAM H,HSIEH W-T,CHIEN T,et al.A leading bibliometric author does not have a dominant contribution to research based on the CJAL score:Bibliometric analysis[J].Medicine,2023:102.
[8] 卫垌圻,鲁晶晶,谭宗颖.应用科研履历数据的情报研究进展[J].图书情报工作,2015,59(7):140-146.
[9] 田瑞强,姚长青,袁军鹏,等.基于科研履历的科技人才流动研究进展[J].图书与情报,2013(5):119-125.
[10] 柴振荣.马来西亚、美国、澳大利亚经理人员履历资料的对比分析[J].管理科学文摘,1998(2):59.
[11] 田瑞强,姚长青,潘云涛,等.基于履历数据的海外华人高层次科技人才流动研究:社会网络分析视角[J].图书情报工作,2014,58(19):92-99.
[12] 孙康,司月芳.创新型人才流动的空间结构与影响因素:基于高被引华人科学家履历分析[J].地理学报,2022,77(8):2113-2130.
[13] 陈建俞.我国青年科技人才群体特征与人才成长关系:基于2012—2020年国家自然科学基金优秀青年科学基金项目获得者履历的分析[J].科技管理研究,2022,42(14):111-122.
[14] 李潇潇,左玥,沈文钦.谁获得了精英大学的教职:基于北大、清华2011—2017年新任教师的履历分析[J].中国高教研究,2018(8):47-52.
[15] 屠羽,吴维库,彭本红.如何成长为高层次科技人才?:基于“双一流”建设高校校长的履历分析[J].科学管理研究,2020,38(2):117-125.
[16] 高瑞,王彬.中国杰出青年科技人才的成长过程及特征:基于“科学探索奖”获得者的履历分析[J].科学管理研究,2022,40(2):139-146.
[17] 杨中华,李般若,李亚鑫,等.国际众包领域中外学者研究异同探究:基于核心作者的履历分析[J].科学与管理,2022,42(3):43-51.
[18] COULTHART S,RORISSA A.Growth,Diversification, and Disconnection:An Analysis of 70 Years of Intelligence Scholarship(1950—2020)[J].Intelligence and National Security,2023,38(6):1003-1019.
[19] 刘平青,陆云泉,高昂,等.职业生涯与人生规划[M].北京:北京大学出版社,2014:36.
[20] 王双,赵筱媛,潘云涛,等.学术谱系视角下的科技人才成长研究:以图灵奖人工智能领域获奖者为例[J].情报学报,2018,37(12):1232-1240.

Share

COinS