基于Web of Science中的SCI-E、SSCI数据库,立足于国际创业教育领域的研究文献,采用国际新兴的CiteSpace软件和可视化方法,将定量分析和定性研究相结合,在知识计量和谱图绘制的基础上,诠释国际创业教育的热点知识群,从而为国际创业教育...基于Web of Science中的SCI-E、SSCI数据库,立足于国际创业教育领域的研究文献,采用国际新兴的CiteSpace软件和可视化方法,将定量分析和定性研究相结合,在知识计量和谱图绘制的基础上,诠释国际创业教育的热点知识群,从而为国际创业教育领域开辟新的研究范式。研究发现,半个多世纪以来,国际创业教育的热点知识群可诠释为商业教育与管理教育,创业管理与商业模式,创业教育课程,创业教育预期、态度、模式与绩效,创业教育与方法,职业流动劳力和创业移民,创业者的人格与健康,青年创业者的支持与环境,创业专业选择、内科与初级保健护理,创业目的与成功,创业教育的调整与文化互渗,职业干预与决策,职业选择与创业自我评估等。展开更多
The authors use a web crawler to retrieve all periodical articles from CNKI between the 1950 s and 2016 and then parse the abstracts of 293368 articles about grassland deterioration by word segmentation, location matc...The authors use a web crawler to retrieve all periodical articles from CNKI between the 1950 s and 2016 and then parse the abstracts of 293368 articles about grassland deterioration by word segmentation, location matching and other methods. The authors also construct a research hot regions extraction model of grassland deterioration in China based on a comprehensive research hot regions index of toponyms and then analyze the spatial pattern and dynamic change in research hot regions of grassland deterioration in China. The research shows the following：（1） The spatial heterogeneity of grassland deterioration in China can be effectively described by a model of grassland deterioration based on the comprehensive research hot regions index.（2） The research hot regions of grassland deterioration are mainly distributed in most regions of Inner Mongolia, Xinjiang, Qinghai, Tibet, Gansu and other provinces. The northeastern region of Inner Mongolia（such as Hulunbeier） and the eastern region of Inner Mongolia（such as Xilin Gol, Chifeng and Wulanchabu） are significant hot regions in the study of grassland deterioration.（3） The number of high research hot regions increases from 81 in the 1950 s to 99 in the 2000s; the area increases from 1.038 million km2 to 1.146 million km2. The degree of hot for grassland deterioration research in 197 counties showed an upward trend. This paper also discusses the relationship between the region of research hot regions and the region of grassland deterioration and then indicates the differences between them in time matching, space matching and concept matching.展开更多
文摘基于Web of Science中的SCI-E、SSCI数据库,立足于国际创业教育领域的研究文献,采用国际新兴的CiteSpace软件和可视化方法,将定量分析和定性研究相结合,在知识计量和谱图绘制的基础上,诠释国际创业教育的热点知识群,从而为国际创业教育领域开辟新的研究范式。研究发现,半个多世纪以来,国际创业教育的热点知识群可诠释为商业教育与管理教育,创业管理与商业模式,创业教育课程,创业教育预期、态度、模式与绩效,创业教育与方法,职业流动劳力和创业移民,创业者的人格与健康,青年创业者的支持与环境,创业专业选择、内科与初级保健护理,创业目的与成功,创业教育的调整与文化互渗,职业干预与决策,职业选择与创业自我评估等。
基金National Key Research and Development Plan Program(2016YFC0503701,2016YFB0501502)Key Project of High Resolution Earth Observation System(00-Y30B14-9001-14/16)
文摘The authors use a web crawler to retrieve all periodical articles from CNKI between the 1950 s and 2016 and then parse the abstracts of 293368 articles about grassland deterioration by word segmentation, location matching and other methods. The authors also construct a research hot regions extraction model of grassland deterioration in China based on a comprehensive research hot regions index of toponyms and then analyze the spatial pattern and dynamic change in research hot regions of grassland deterioration in China. The research shows the following：（1） The spatial heterogeneity of grassland deterioration in China can be effectively described by a model of grassland deterioration based on the comprehensive research hot regions index.（2） The research hot regions of grassland deterioration are mainly distributed in most regions of Inner Mongolia, Xinjiang, Qinghai, Tibet, Gansu and other provinces. The northeastern region of Inner Mongolia（such as Hulunbeier） and the eastern region of Inner Mongolia（such as Xilin Gol, Chifeng and Wulanchabu） are significant hot regions in the study of grassland deterioration.（3） The number of high research hot regions increases from 81 in the 1950 s to 99 in the 2000s; the area increases from 1.038 million km2 to 1.146 million km2. The degree of hot for grassland deterioration research in 197 counties showed an upward trend. This paper also discusses the relationship between the region of research hot regions and the region of grassland deterioration and then indicates the differences between them in time matching, space matching and concept matching.
