摘要
为回顾羌族地区灾后十年旅游发展历程并总结已有研究成果,以中文社会科学引文索引(CSSCI)中2008—2018年97篇学术论文为基础,采用Cite-space社会网络结构分析法与词频分析法对论文的发文时间、作者合作网络、机构合作网络、来源刊物、关键词聚类网络展开分析,研究发现:a)2008—2010年为研究的热点期,发文数量陡增,此后发文数量持续减少。b)国内已形成数个核心研究团队,且研究团队的科研成果产出量差异明显。c)研究机构多基于地缘与学源关系开展联合研究,且集中分布于四川省内。d)《西南民族大学学报(人文社会科学版)》刊发11篇文献,刊文数量最多,并专设"灾难人类学"栏目。e)六大研究主题具有明显的时事性,且涵盖了灾后旅游研究的基本内容,但仍需长时段跟踪调查与研究。
In order to review the development of tourism in Qiang region after the disaster and summarize the existing research results, 97 academic papers from 2008 to 2018 in the Chinese Social Sciences Citation Index（CSSCI） are used as the basis. By using Cite-space social network structure analysis and word frequency analysis, this paper analyzes the publication time, author cooperation network, organization cooperation network, source publication and keyword clustering network of the paper. The results are as follows： First, the year of 2008 to 2010 is the hot topic of the study, with the number of articles increasing sharply and the number of articles decreasing continuously since then; secondly, several core research teams have been formed in China, and there are significant differences in the output of research results among the research teams; thirdly, research institutions mostly carry out joint research based on the relationship between geography and academic resources, and they are concentrated in Sichuan Province; fourthly, The Journal of Southwest Minzu University（Humanities and Social Sciences Edition）has published 11 articles, whose number ranks first, and a special column of ＂Disaster Anthropology＂ is set up; fifthly, six research topics are obviously topical and cover the basic contents of post-disaster tourism research, but they still need to be followed up for a long time.
作者
李超
LI Chao(Institute of Southwest Minority Research,Southwest Minzu University,Chengdu Siehuan 610041;School of Business,Guizhou University of Finance and Economies,Guiyang Guizhou 550025,China)
出处
《乐山师范学院学报》
2018年第9期51-61,共11页
Journal of Leshan Normal University
关键词
旅游发展
危机应对
网络结构分析
知识系谱图
Tourism Development
Crisis Response
Network Structure Analysis
Mapping Knowledge Domain
