基于社会网络的研究型高校优势学科方向发展预测研究
发布时间：2018-09-10 05:54
【摘要】：学科是大学进行人才培养、科学研究和为社会服务的基础,学科发展战略的制定对大学发展具有重大意义。那么能否用定量研究方法从实证角度分析高校的整体学科布局、识别出高校的优势学科领域和重点学科领域以及可能的交叉方向,从而为高校优化学科布局以及制定整体学科发展战略提供科学依据?在确定单个学科发展方向时,能否定量分析高校在该学科领域的研究现状和国际上的研究趋势,从而使制定的学科发展战略既立足本校实际,又与国际趋势保持一致?这些问题是我国学科发展战略实践和理论研究中需要关注的方面,而目前相关研究较为欠缺,多以定性研究为主。 基于上述问题,本文以专利数据为基础开展对研究型高校优势学科的发展预测研究。选取浙江大学、清华大学、上海交通大学三所研究型高校作为案例,利用专利地图和社会网络分析方法对案例高校的专利数据进行可视化分析,得出各高校的学科分布情况,识别出各高校的优势学科领域和重要学科领域以及可能的交叉方向,通过三所高校的对比分析为各自整体学科发展战略的制定提供科学依据。并从三所高校共有的优势学科中选择一个优势学科为例,结合专利地图和社会网络分析的方法探测在该学科领域各高校的研究现状和国际研究趋势,通过二者的对比分析对各高校该学科的发展方向作出预测。最后,构建了一个基于专利数据的高校学科优势及发展预测技术模型。在此基础上提出了科学制定高校学科发展战略,优化高校学科布局,合理配置高校学科资源等建议。
[Abstract]:Disciplines are the basis of personnel training, scientific research and social service in universities. The formulation of discipline development strategy is of great significance to the development of universities. In order to provide scientific basis for optimizing the layout of disciplines and formulating the overall development strategy of disciplines in Colleges and universities, can we quantitatively analyze the current research situation in this field and the international research trend when determining the development direction of a single discipline, so as to make the development strategy of disciplines based on the reality of the University and keep in line with the international trend? As a result, these problems need to be paid attention to in the practice and theoretical research of the discipline development strategy in China. At present, there is a lack of relevant research, mainly qualitative research.
Based on the above-mentioned problems, this paper carries out the research on the development prediction of the dominant disciplines of research universities on the basis of patent data. Three research universities, Zhejiang University, Tsinghua University and Shanghai Jiaotong University, are selected as the cases. The patent map and social network analysis method are used to visualize the patent data of the case universities, and the results are obtained. Distribution of disciplines in Colleges and universities, identification of the dominant disciplines and important disciplines in Colleges and universities and possible cross-direction, through the comparative analysis of the three universities to provide a scientific basis for the formulation of their overall disciplines development strategy. The methods of graph and social network analysis are used to explore the current research situation and international research trend of universities in this field, and the development direction of this subject is predicted by comparing the two methods. Finally, a model of discipline advantages and development prediction technology of Universities Based on patent data is constructed. It is suggested that the disciplinary development strategy should be formulated, the layout of disciplines should be optimized, and the disciplinary resources of universities should be rationally allocated.
【学位授予单位】：浙江大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：G642.3
本文编号：2233553
[Abstract]:Disciplines are the basis of personnel training, scientific research and social service in universities. The formulation of discipline development strategy is of great significance to the development of universities. In order to provide scientific basis for optimizing the layout of disciplines and formulating the overall development strategy of disciplines in Colleges and universities, can we quantitatively analyze the current research situation in this field and the international research trend when determining the development direction of a single discipline, so as to make the development strategy of disciplines based on the reality of the University and keep in line with the international trend? As a result, these problems need to be paid attention to in the practice and theoretical research of the discipline development strategy in China. At present, there is a lack of relevant research, mainly qualitative research.
Based on the above-mentioned problems, this paper carries out the research on the development prediction of the dominant disciplines of research universities on the basis of patent data. Three research universities, Zhejiang University, Tsinghua University and Shanghai Jiaotong University, are selected as the cases. The patent map and social network analysis method are used to visualize the patent data of the case universities, and the results are obtained. Distribution of disciplines in Colleges and universities, identification of the dominant disciplines and important disciplines in Colleges and universities and possible cross-direction, through the comparative analysis of the three universities to provide a scientific basis for the formulation of their overall disciplines development strategy. The methods of graph and social network analysis are used to explore the current research situation and international research trend of universities in this field, and the development direction of this subject is predicted by comparing the two methods. Finally, a model of discipline advantages and development prediction technology of Universities Based on patent data is constructed. It is suggested that the disciplinary development strategy should be formulated, the layout of disciplines should be optimized, and the disciplinary resources of universities should be rationally allocated.
【学位授予单位】：浙江大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：G642.3
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