本文選題：引文內(nèi)容 + 術(shù)語　； 參考：《圖書館論壇》2017年10期

【摘要】：學(xué)科交叉研究分為宏觀態(tài)勢研究和微觀主題研究,二者相結(jié)合的研究甚少。文章通過分析宏觀學(xué)科交叉和微觀學(xué)科主題交叉是否存在相關(guān)關(guān)系,探究學(xué)科交叉內(nèi)部規(guī)律。首先采集學(xué)術(shù)論文,解析學(xué)科信息和引文內(nèi)容,計(jì)算學(xué)科交叉度(宏觀)、主題學(xué)科交叉度和主題交叉度分布熵指標(biāo),探究指標(biāo)間的相關(guān)關(guān)系;考慮到存在一定量的論文同時(shí)從屬于多個(gè)學(xué)科,為規(guī)避該影響,設(shè)計(jì)算法進(jìn)行對比實(shí)驗(yàn)。實(shí)證表明:學(xué)科交叉度和平均主題學(xué)科交叉度呈正相關(guān),學(xué)科交叉度和主題交叉度分布熵呈正相關(guān);學(xué)科間共有論文對學(xué)科交叉度、平均主題交叉度和主題學(xué)科交叉度分布熵的相關(guān)性分析影響較小。
[Abstract]:Interdisciplinary research is divided into macro-situation research and micro-theme study, the combination of the two research is very little.This paper probes into the internal law of subject crossing by analyzing whether there is a correlation between macro subject crossing and micro subject subject crossing.Firstly, we collect academic papers, analyze the subject information and citation content, calculate the degree of subject intersection (macroscopic degree, subject degree of intersection and thematic intersection degree distribution entropy index), and explore the correlation between the indexes.Considering the existence of a certain number of papers at the same time belong to many disciplines, in order to avoid this effect, the algorithm is designed to carry out comparative experiments.The empirical results show that there is a positive correlation between the subject intersection degree and the average subject intersection degree, and a positive correlation between the subject intersection degree and the subject intersection degree distribution entropy.The correlation analysis of the distribution entropy of average subject crossing degree and subject subject crossing degree has little influence.
【作者單位】： 南京理工大學(xué);
【基金】：國家社科基金青年項(xiàng)目“社交媒體視域下的跨學(xué)科用戶發(fā)現(xiàn)及其推薦研究”(項(xiàng)目編號(hào):17CTQ047)資助
【分類號(hào)】：G353.1
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本文編號(hào)：1732997