發(fā)布時(shí)間：2018-06-28 22:04

  本文選題：合著網(wǎng)絡(luò) + 節(jié)點(diǎn)屬性　； 參考：《情報(bào)理論與實(shí)踐》2017年09期

【摘要】：[目的/意義]針對(duì)網(wǎng)絡(luò)結(jié)構(gòu)關(guān)鍵節(jié)點(diǎn)識(shí)別指標(biāo)在合著網(wǎng)絡(luò)應(yīng)用中存在的不足,基于多屬性決策TOPSIS理論構(gòu)建了識(shí)別合著網(wǎng)絡(luò)關(guān)鍵節(jié)點(diǎn)的新方法。[方法/過程]首先基于合著網(wǎng)絡(luò)信息流類型選擇度中心性、接近中心性和特征向量中心性為多屬性決策評(píng)價(jià)指標(biāo);其次基于熵權(quán)理論計(jì)算出各指標(biāo)權(quán)重;最后通過多屬性決策TOPSIS方法識(shí)別出合著網(wǎng)絡(luò)中關(guān)鍵節(jié)點(diǎn),并以"Scientometrics"期刊2011—2015年論文作者合著網(wǎng)絡(luò)進(jìn)行了實(shí)證研究。[結(jié)果/結(jié)論]基于多屬性決策TOPSIS方法識(shí)別出了G.Abramo和C.A.D’Angelo等關(guān)鍵作者;并基于傳染病SI模型思想和節(jié)點(diǎn)刪除思想驗(yàn)證了多屬性決策TOPSIS方法的有效性。
[Abstract]:[objective / significance] in view of the shortcomings of the key node identification index of network structure in the application of co-authoring network, a new method to identify the key nodes of coauthor network is constructed based on the theory of multi-attribute decision making (TOPSIS). [method / process] firstly, based on the centrality of type selection of coauthor network information flow, proximity and characteristic vector centrality are the evaluation indexes of multi-attribute decision making, and then the weights of each index are calculated based on entropy weight theory. Finally, the key nodes in co-authorship network are identified by TOPSIS method of multi-attribute decision making, and an empirical study is carried out with the co-author network of Scientometrics in 2011-2015. [results / conclusion] based on the TOPSIS method of multi-attribute decision making, the key authors of G. Abramo and C.A. DX Angelo are identified, and the effectiveness of the TOPSIS method based on SI model of infectious diseases and node deletion is verified.
【作者單位】： 天津大學(xué)圖書館;天津大學(xué)情報(bào)研究所;天津大學(xué)管理與經(jīng)濟(jì)學(xué)部;
【分類號(hào)】：G353.1

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本文編號(hào)：2079525