【摘要】：隨著科技的進步,科學技術(shù)對社會經(jīng)濟發(fā)展的貢獻越來越大,科學技術(shù)的分化與綜合的趨勢不斷加強,科學技術(shù)研究也越來越強調(diào)團隊的協(xié)作與集體的智慧。學科團隊作為一種智慧與協(xié)作的合作創(chuàng)新群體,是各科研院所以及高等學府科技攻關(guān)的主力軍,適應知識經(jīng)濟時代科技發(fā)展的要求。然而,發(fā)現(xiàn)和挖掘?qū)W科團隊及其科研產(chǎn)出,成為科研工作者共同關(guān)注的焦點問題。本文以中國科學院國家科學圖書館2009年度學科情報項目“科研機構(gòu)競爭力分析”為背景,運用文獻計量學方法、社會網(wǎng)絡分析方法、數(shù)據(jù)挖掘方法及統(tǒng)計分析方法,提出了微觀層面的、有別于傳統(tǒng)的、適用于科研院所和高等學校的學科團隊競爭力分析與評價方法。本研究工作從學科團隊成員的界定到發(fā)現(xiàn)學科團隊人員及其科研產(chǎn)出再到團隊間競爭力分析與評價等多方面的研究工作,并通過應用實例驗證了方法的有效性。主要工作包括: 針對如何確定學科團隊成員問題,從學科帶頭人出發(fā),基于科技文獻,應用社會網(wǎng)絡相關(guān)知識提出了學科團隊成員判別準則,并依據(jù)該準則客觀地確定了目標學科團隊成員和競爭對手學科團隊成員,使競爭力分析對象更客觀、更準確、更合理、更具有對比性。 針對合作作者及其發(fā)表論文等信息難采集的問題,借助現(xiàn)有的成熟工具和數(shù)據(jù)挖掘技術(shù),基于Mediawiki設計并實現(xiàn)了領(lǐng)域?qū)＜覍Ш狡脚_,通過該平臺,以學科團隊成員姓名和單位為檢索條件,以第三方權(quán)威數(shù)據(jù)庫為數(shù)據(jù)源進行數(shù)據(jù)采集,并經(jīng)數(shù)據(jù)清洗、數(shù)據(jù)分析與合并等步驟,自動匯集學科團隊成員的科技文獻、自動生成合作作者關(guān)系網(wǎng)絡,通過科技文獻和合作關(guān)系網(wǎng),實現(xiàn)了深層次學科團隊成員及其科研產(chǎn)出等信息的挖掘。 針對學科團隊競爭力如何分析與評價的問題,提出了基于科技文獻的科研生產(chǎn)力,科研影響力和科研發(fā)展力三個緯度的競爭力評價指標體系和主成分分析評價模型,通過該模型具有的客觀賦權(quán)值等優(yōu)勢,實現(xiàn)了對目標學科團隊及對比學科團隊競爭力分析與評價。 針對研究成果的適用性要求,通過應用實例,例證了從學科帶頭人的確定、到合作關(guān)系網(wǎng)絡圖的生成、再到學科團隊的最終確定,最后到對目標學科團隊和對比學科團隊的分析和評價,得到了吻合實際情況的實證結(jié)果,論證了該方法的科學性與有效性。 最后,對可延伸和可拓展的工作做了進一步的展望,為完善學科團隊競爭力分析與評價方法上提供了可借鑒思路與方法。
[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.
【學位授予單位】：西安電子科技大學
【學位級別】：碩士
【學位授予年份】：2011
【分類號】：G322;F224

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