学科团队竞争力分析与评价实证研究

发布时间：2018-08-17 18:32

【摘要】：随着科技的进步,科学技术对社会经济发展的贡献越来越大,科学技术的分化与综合的趋势不断加强,科学技术研究也越来越强调团队的协作与集体的智慧。学科团队作为一种智慧与协作的合作创新群体,是各科研院所以及高等学府科技攻关的主力军,适应知识经济时代科技发展的要求。然而,发现和挖掘学科团队及其科研产出,成为科研工作者共同关注的焦点问题。本文以中国科学院国家科学图书馆2009年度学科情报项目“科研机构竞争力分析”为背景,运用文献计量学方法、社会网络分析方法、数据挖掘方法及统计分析方法,提出了微观层面的、有别于传统的、适用于科研院所和高等学校的学科团队竞争力分析与评价方法。本研究工作从学科团队成员的界定到发现学科团队人员及其科研产出再到团队间竞争力分析与评价等多方面的研究工作,并通过应用实例验证了方法的有效性。主要工作包括: 针对如何确定学科团队成员问题,从学科带头人出发,基于科技文献,应用社会网络相关知识提出了学科团队成员判别准则,并依据该准则客观地确定了目标学科团队成员和竞争对手学科团队成员,使竞争力分析对象更客观、更准确、更合理、更具有对比性。针对合作作者及其发表论文等信息难采集的问题,借助现有的成熟工具和数据挖掘技术,基于Mediawiki设计并实现了领域专家导航平台,通过该平台,以学科团队成员姓名和单位为检索条件,以第三方权威数据库为数据源进行数据采集,并经数据清洗、数据分析与合并等步骤,自动汇集学科团队成员的科技文献、自动生成合作作者关系网络,通过科技文献和合作关系网,实现了深层次学科团队成员及其科研产出等信息的挖掘。针对学科团队竞争力如何分析与评价的问题,提出了基于科技文献的科研生产力,科研影响力和科研发展力三个纬度的竞争力评价指标体系和主成分分析评价模型,通过该模型具有的客观赋权值等优势,实现了对目标学科团队及对比学科团队竞争力分析与评价。针对研究成果的适用性要求,通过应用实例,例证了从学科带头人的确定、到合作关系网络图的生成、再到学科团队的最终确定,最后到对目标学科团队和对比学科团队的分析和评价,得到了吻合实际情况的实证结果,论证了该方法的科学性与有效性。最后,对可延伸和可拓展的工作做了进一步的展望,为完善学科团队竞争力分析与评价方法上提供了可借鉴思路与方法。
[Abstract]:With the progress of science and technology, the contribution of science and technology to social and economic development is increasing, the trend of differentiation and integration of science and technology is strengthening, and scientific and technological research is increasingly emphasizing team cooperation and collective wisdom. The main force of tackling key problems in science and technology is to meet the requirements of the development of science and technology in the era of knowledge economy. However, discovering and mining the scientific research teams and their scientific research outputs have become the focus of scientific researchers'attention. Econometric methods, social network analysis methods, data mining methods and statistical analysis methods have been proposed to analyze and evaluate the competitiveness of discipline teams in scientific research institutes and colleges. This research work includes the definition of discipline team members, the discovery of discipline team members and their scientific research outputs. Finally, the effectiveness of the method is verified by the application examples. The main work includes:
Aiming at the problem of how to determine the members of a discipline team, this paper puts forward a criterion for judging the members of a discipline team based on scientific and technological literature and social network knowledge, and objectively determines the members of a target discipline team and the members of a competing discipline team according to the criterion, so as to make the object of competitiveness analysis more objective, more accurate and more accurate. Reasonable and more contrast.
Aiming at the difficulty of collecting information such as co-authors and their published papers, a domain expert navigation platform based on Mediawiki is designed and implemented with the help of existing mature tools and data mining technology. The platform is used to collect data from authoritative third-party databases with the names and units of subject team members as retrieval conditions. Through the steps of data cleaning, data analysis and merging, the scientific and technological literature of subject team members is automatically collected, and the cooperative author network is automatically generated. Through the scientific and technological literature and cooperative network, the information mining of deep-level subject team members and their scientific research output is realized.
Aiming at the problem of how to analyze and evaluate the competitiveness of discipline teams, this paper puts forward the evaluation index system and principal component analysis evaluation model of competitiveness in three latitudes of scientific research productivity, scientific research influence and scientific research development based on scientific and technological literature. Through the advantages of objective weighting and other advantages of the model, the target discipline teams and their comparison are realized. Analysis and evaluation of the competitiveness of disciplinary teams.
According to the applicability requirement of the research results, an application example is given to illustrate the process from the determination of subject leaders to the generation of cooperative network diagram, to the final determination of subject teams, and finally to the analysis and evaluation of the target subject teams and the comparative subject teams. The empirical results are in line with the actual situation and the subject of the method is demonstrated. Learning and effectiveness.
Finally, the extensible and extensible work is further prospected, which provides useful ideas and methods for improving the analysis and evaluation methods of discipline team competitiveness.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2011
【分类号】：G322;F224

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