基于期刊學(xué)科分類的學(xué)科交叉特征識別方法——以生物醫(yī)學(xué)工程領(lǐng)域為例
發(fā)布時間：2019-03-06 17:38
【摘要】：【目的】針對當(dāng)前我國在學(xué)科交叉特征研究中的不足,建立一套規(guī)則、結(jié)構(gòu)清晰的學(xué)科交叉特征識別方法�！痉椒ā恳訵eb of Science數(shù)據(jù)庫收錄的生物醫(yī)學(xué)工程領(lǐng)域論文所屬期刊的學(xué)科分類為數(shù)據(jù)基礎(chǔ),通過引入中介中心性、度中心性、信息熵指標,利用學(xué)科共現(xiàn)分析方法,結(jié)合Bibexcel、Ucinet社會網(wǎng)絡(luò)分析軟件建立學(xué)科關(guān)聯(lián)網(wǎng)絡(luò)圖譜,識別生物醫(yī)學(xué)工程領(lǐng)域?qū)W科交叉的結(jié)構(gòu)演化特征,驗證了其在學(xué)科交叉特征識別中的可行性。【結(jié)果】分析生物醫(yī)學(xué)工程領(lǐng)域的學(xué)科交叉特征,得出該領(lǐng)域的親緣學(xué)科,結(jié)果表明"生物醫(yī)學(xué)工程"研究領(lǐng)域的信息熵隨著時間的演進而增大,說明該領(lǐng)域的學(xué)科交叉程度愈加深入。【結(jié)論】實驗結(jié)果與實際情況較為一致,驗證了學(xué)科交叉特征識別方法的可靠性。
[Abstract]:[objective] to establish a set of rules in view of the deficiency in the study of cross-disciplinary characteristics in our country at present, [methods] based on the classification of journals in biomedical engineering field included in Web of Science database, by introducing the index of intermediary centrality, degree centrality and information entropy, a method of cross-feature recognition with clear structure is presented in this paper, which is based on the classification of journals in biomedical engineering field which are included in the database of Biomedical Engineering. By using the method of discipline co-occurrence analysis and combining with Bibexcel,Ucinet social network analysis software, this paper sets up the network map of discipline association, and identifies the structural evolution characteristics of discipline cross-discipline in biomedical engineering field. The feasibility of cross-feature recognition was verified. [results] the cross-disciplinary features in biomedical engineering field were analyzed, and the related disciplines in this field were obtained. The results show that the entropy of biomedicine engineering increases with the evolution of time, indicating that the interdisciplinary degree of the field is getting deeper and deeper. [conclusion] the experimental results are consistent with the actual situation. The reliability of the cross-disciplinary feature recognition method is verified.
【作者單位】： 大連理工大學(xué)公共管理與法學(xué)學(xué)院WISE實驗室;
【基金】：國家社會科學(xué)基金項目:高科技前沿監(jiān)測中的知識圖譜方法與應(yīng)用研究(14BTQC030)
【分類號】：G353.1
本文編號：2435753
[Abstract]:[objective] to establish a set of rules in view of the deficiency in the study of cross-disciplinary characteristics in our country at present, [methods] based on the classification of journals in biomedical engineering field included in Web of Science database, by introducing the index of intermediary centrality, degree centrality and information entropy, a method of cross-feature recognition with clear structure is presented in this paper, which is based on the classification of journals in biomedical engineering field which are included in the database of Biomedical Engineering. By using the method of discipline co-occurrence analysis and combining with Bibexcel,Ucinet social network analysis software, this paper sets up the network map of discipline association, and identifies the structural evolution characteristics of discipline cross-discipline in biomedical engineering field. The feasibility of cross-feature recognition was verified. [results] the cross-disciplinary features in biomedical engineering field were analyzed, and the related disciplines in this field were obtained. The results show that the entropy of biomedicine engineering increases with the evolution of time, indicating that the interdisciplinary degree of the field is getting deeper and deeper. [conclusion] the experimental results are consistent with the actual situation. The reliability of the cross-disciplinary feature recognition method is verified.
【作者單位】： 大連理工大學(xué)公共管理與法學(xué)學(xué)院WISE實驗室;
【基金】：國家社會科學(xué)基金項目:高科技前沿監(jiān)測中的知識圖譜方法與應(yīng)用研究(14BTQC030)
【分類號】：G353.1
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，本文編號：2435753
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