摘要
[目的/意义]朝核问题自上世纪九十年代以来,作为冷战后一个持续二十余年的重大国际热点与难点问题,长期困扰国际社会。然而今年,伴随着朝方导弹试射和美方的强硬表态,朝核问题有再次升级的可能,未来的发展趋势亦愈发值得关注。[方法/过程]以此为背景,以中国期刊全文数据库(CNKI)核心期刊和CSSCI两个数据库作为数据源,运用社会网络分析方法,绘制了朝核问题研究的知识网络,然后通过多维尺度分析,将当前国内朝核问题研究划分为五大知识群。[结果/结论]研究发现国内朝核研究热点主要集中朝核危机、六方会谈、多边合作等几个方面。在此基础上,认为未来应在以下几个方面予以重点关注:加强对朝鲜问题的研究;研判朝鲜发展核武与拥核之后的真实意图;加强对朝鲜半岛可能发生的各种突发事件研究;从传播学角度研究如何提升中方在朝核问题的影响力和话语权;朝核问题的研究以及问题的解决需要创新思路。
[Purpose/Significance]Since the 90s of last century, the Korean nuclear issue has lasted for more than twenty years. It has been a major international hot and difficult problem after the cold war, and has plagued the international community for a long time. Dur-ing this period, the domestic scholars have done in-depth research, from different perspectives, Around the root of the Korean nuclear is-sue, the impact, countermeasures. However, this year, along with the DPRK's two intercontinental missile test and the strong stance of the United States, the DPRK nuclear issue is likely to upgrade once again, and the future trends are becoming increasingly noteworthy. In this paper, the main journal articles of 293 Korean nuclear issues are taken as the research object, in China Journal Full - text Database (CNKI) core journals and CSSCI two databases. [Method/Process]By using the method of social network analysis, the knowledge net-work of Korean Peninsula nuclear issue is drawn up. Then, through cluster analysis and multidimensional scaling analysis, the study of Ko-rean nuclear issue is divided into five major knowledge groups. [ Results Conclusion] We finding Domestic research on the Korean nuclear issue mainly focuses on the Korean nuclear crisis, the six party talks, multilateral cooperation and other aspects. In the future, we need to strengthen the research on the Korean issue, the Korean Peninsula and other aspects of the incident.
作者
何彤宇
He Tongyu(School of Communication Jiangxi Normal University, Nanchang 33002)
出处
《情报杂志》
CSSCI
北大核心
2017年第11期78-85,共8页
Journal of Intelligence
关键词
朝核问题
共词分析
知识图谱
Korean nuclear issue CO-word analysis knowledge mapping