【摘要】：[目的/意義]提出三重耦合概念,以期通過(guò)改變傳統(tǒng)耦合的作者頻次計(jì)算方法,改進(jìn)因偶然因素產(chǎn)生的過(guò)耦合現(xiàn)象,提高領(lǐng)域知識(shí)譜圖繪制的準(zhǔn)確度。[方法/過(guò)程]將原始矩陣構(gòu)建從二重耦合計(jì)數(shù)改進(jìn)為三重耦合計(jì)數(shù),轉(zhuǎn)化為相關(guān)矩陣后,對(duì)三維矩陣進(jìn)行降維處理,通過(guò)Gephi軟件繪制科學(xué)知識(shí)圖譜并進(jìn)行數(shù)據(jù)揭示與分析。[結(jié)果/結(jié)論]實(shí)證研究結(jié)果顯示,三重耦合一方面保留了二重耦合的領(lǐng)域分析能力,另一方面提高了聚類(lèi)結(jié)果的準(zhǔn)確性,更為有效地進(jìn)行作者可視化分析,有利于領(lǐng)域圖譜繪制和子領(lǐng)域發(fā)現(xiàn),挖掘出科學(xué)共同體的更多細(xì)節(jié)。
[Abstract]:[objective / significance] the concept of triple coupling is put forward in order to improve the over-coupling phenomenon caused by accidental factors and improve the accuracy of domain knowledge spectrum drawing by changing the traditional method of calculating the frequency of authors. [method / process] the original matrix construction was improved from double coupling count to triple coupling count, and then transformed into correlation matrix, the three-dimensional matrix was reduced dimension, and the scientific knowledge map was drawn by Gephi software, and the data was revealed and analyzed. [results / conclusions] empirical results show that triple coupling retains the domain analysis capability of double coupling on the one hand, and improves the accuracy of clustering results on the other hand, and makes the author visualize analysis more effectively. Facilitate domain mapping and subdomain discovery, mining out more details of the scientific community.
【作者單位】： 北京大學(xué)信息管理系;印第安納大學(xué)信息學(xué)與計(jì)算機(jī)學(xué)院;
【分類(lèi)號(hào)】：G353.1

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1 胡風(fēng)娥;;圖書(shū)館三重和諧之構(gòu)建[J];江西科技師范大學(xué)學(xué)報(bào);2012年05期

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本文編號(hào)：2428597