發(fā)布時(shí)間：2018-08-17 18:32

【摘要】：隨著科技的進(jìn)步,科學(xué)技術(shù)對(duì)社會(huì)經(jīng)濟(jì)發(fā)展的貢獻(xiàn)越來越大,科學(xué)技術(shù)的分化與綜合的趨勢不斷加強(qiáng),科學(xué)技術(shù)研究也越來越強(qiáng)調(diào)團(tuán)隊(duì)的協(xié)作與集體的智慧。學(xué)科團(tuán)隊(duì)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(xué)府科技攻關(guān)的主力軍,適應(yīng)知識(shí)經(jīng)濟(jì)時(shí)代科技發(fā)展的要求。然而,發(fā)現(xiàn)和挖掘?qū)W科團(tuán)隊(duì)及其科研產(chǎn)出,成為科研工作者共同關(guān)注的焦點(diǎn)問題。本文以中國科學(xué)院國家科學(xué)圖書館2009年度學(xué)科情報(bào)項(xiàng)目“科研機(jī)構(gòu)競爭力分析”為背景,運(yùn)用文獻(xiàn)計(jì)量學(xué)方法、社會(huì)網(wǎng)絡(luò)分析方法、數(shù)據(jù)挖掘方法及統(tǒng)計(jì)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(xué)校的學(xué)科團(tuán)隊(duì)競爭力分析與評(píng)價(jià)方法。本研究工作從學(xué)科團(tuán)隊(duì)成員的界定到發(fā)現(xiàn)學(xué)科團(tuán)隊(duì)人員及其科研產(chǎn)出再到團(tuán)隊(duì)間競爭力分析與評(píng)價(jià)等多方面的研究工作,并通過應(yīng)用實(shí)例驗(yàn)證了方法的有效性。主要工作包括: 針對(duì)如何確定學(xué)科團(tuán)隊(duì)成員問題,從學(xué)科帶頭人出發(fā),基于科技文獻(xiàn),應(yīng)用社會(huì)網(wǎng)絡(luò)相關(guān)知識(shí)提出了學(xué)科團(tuán)隊(duì)成員判別準(zhǔn)則,并依據(jù)該準(zhǔn)則客觀地確定了目標(biāo)學(xué)科團(tuán)隊(duì)成員和競爭對(duì)手學(xué)科團(tuán)隊(duì)成員,使競爭力分析對(duì)象更客觀、更準(zhǔn)確、更合理、更具有對(duì)比性。 針對(duì)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(shè)計(jì)并實(shí)現(xiàn)了領(lǐng)域?qū)＜覍?dǎo)航平臺(tái),通過該平臺(tái),以學(xué)科團(tuán)隊(duì)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(jìn)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(dòng)匯集學(xué)科團(tuán)隊(duì)成員的科技文獻(xiàn)、自動(dòng)生成合作作者關(guān)系網(wǎng)絡(luò),通過科技文獻(xiàn)和合作關(guān)系網(wǎng),實(shí)現(xiàn)了深層次學(xué)科團(tuán)隊(duì)成員及其科研產(chǎn)出等信息的挖掘。 針對(duì)學(xué)科團(tuán)隊(duì)競爭力如何分析與評(píng)價(jià)的問題,提出了基于科技文獻(xiàn)的科研生產(chǎn)力,科研影響力和科研發(fā)展力三個(gè)緯度的競爭力評(píng)價(jià)指標(biāo)體系和主成分分析評(píng)價(jià)模型,通過該模型具有的客觀賦權(quán)值等優(yōu)勢,實(shí)現(xiàn)了對(duì)目標(biāo)學(xué)科團(tuán)隊(duì)及對(duì)比學(xué)科團(tuán)隊(duì)競爭力分析與評(píng)價(jià)。 針對(duì)研究成果的適用性要求,通過應(yīng)用實(shí)例,例證了從學(xué)科帶頭人的確定、到合作關(guān)系網(wǎng)絡(luò)圖的生成、再到學(xué)科團(tuán)隊(duì)的最終確定,最后到對(duì)目標(biāo)學(xué)科團(tuán)隊(duì)和對(duì)比學(xué)科團(tuán)隊(duì)的分析和評(píng)價(jià),得到了吻合實(shí)際情況的實(shí)證結(jié)果,論證了該方法的科學(xué)性與有效性。 最后,對(duì)可延伸和可拓展的工作做了進(jìn)一步的展望,為完善學(xué)科團(tuán)隊(duì)競爭力分析與評(píng)價(jià)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(xué)位授予單位】：西安電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2011
【分類號(hào)】：G322;F224

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