本文選題：圖書館借閱數(shù)據(jù)　切入點(diǎn)：網(wǎng)絡(luò)科學(xué)　出處：《圖書情報(bào)工作》2017年11期 　論文類型：期刊論文

【摘要】：[目的/意義]挖掘圖書館借閱數(shù)據(jù),從網(wǎng)絡(luò)屬性、節(jié)點(diǎn)重要性和社團(tuán)模塊來研究各學(xué)科書籍之間的關(guān)系,有助于指導(dǎo)圖書資源管理、讀者服務(wù)和學(xué)科建設(shè)工作。[方法/過程]基于復(fù)雜網(wǎng)絡(luò)的理論和方法對(duì)圖書館學(xué)生借閱數(shù)據(jù)進(jìn)行分析,以各類目書籍為節(jié)點(diǎn),構(gòu)建圖書共現(xiàn)網(wǎng)絡(luò)。在此基礎(chǔ)上,對(duì)加權(quán)網(wǎng)絡(luò)的網(wǎng)絡(luò)屬性和節(jié)點(diǎn)重要性進(jìn)行探討,并通過隨機(jī)游走算法劃分書籍社團(tuán)。[結(jié)果/結(jié)論]研究揭示了書籍及學(xué)科間的內(nèi)在聯(lián)系,同時(shí),也為加權(quán)網(wǎng)絡(luò)的實(shí)證研究提供一定的經(jīng)驗(yàn)材料。
[Abstract]:[objective / significance] Mining library borrowing data to study the relationship between books in various disciplines from network attributes, node importance and community modules, is helpful to guide the management of library resources. Based on the theory and method of complex network, this paper analyzes the data of library students' borrowing, and constructs a network of book co-occurrence based on various kinds of books. This paper discusses the network attribute and node importance of weighted network, and divides the book community by random walk algorithm. [results / conclusions] the study reveals the internal relationship between books and subjects, and at the same time, It also provides some empirical materials for the empirical research of weighted networks.
【作者單位】： 南京大學(xué)信息管理學(xué)院;
【基金】：國(guó)家社會(huì)科學(xué)基金重大項(xiàng)目“面向?qū)W科領(lǐng)域的網(wǎng)絡(luò)信息資源深度聚合與服務(wù)研究”(項(xiàng)目編號(hào):12&ZD221)研究成果之一
【分類號(hào)】：G252.3
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本文編號(hào)：1564200