本文選題：學(xué)科知識結(jié)構(gòu) + 主題演化��； 參考：《圖書情報工作》2017年12期

【摘要】：[目的 /意義]提出3種主題演化模式:主題全局演化、主題團(tuán)簇演化和主題協(xié)同演化,以期梳理學(xué)科知識結(jié)構(gòu)的演化模式,進(jìn)一步豐富揭示學(xué)科知識結(jié)構(gòu)的研究范式。[方法 /過程]以Web of Science中2001-2015年間圖書情報學(xué)領(lǐng)域的核心期刊文獻(xiàn)數(shù)據(jù)為研究對象,以"計量學(xué)"為研究主題,基于時序分析、主題-關(guān)鍵詞共現(xiàn)分析構(gòu)建2-模網(wǎng)絡(luò),利用NetDraw對各主題演化模式進(jìn)行可視化呈現(xiàn)。[結(jié)果 /結(jié)論]通過深入比較3種演化模式得出:主題全局演化可以直觀、系統(tǒng)把握學(xué)科的歷史軌跡和研究路徑;以"團(tuán)簇狀"為子網(wǎng)絡(luò)單元的主題團(tuán)簇演化模式,可以更為細(xì)粒度、挖掘深度更高、更全面系統(tǒng)、真實具體地仿真主題演化;而主題協(xié)同演化,結(jié)合全局演化和團(tuán)簇演化的優(yōu)勢,能以"聯(lián)系與發(fā)展"的視角揭示主題在演化過程中彼此之間的關(guān)聯(lián)程度及其融合與獨立趨勢。
[Abstract]:[objective / significance] three kinds of thematic evolution models are proposed: global thematic evolution, thematic cluster evolution and thematic co-evolution, in order to comb the evolution model of the subject knowledge structure and further enrich the research paradigm to reveal the subject knowledge structure. [method / process] taking the literature data of core journals in the field of library and information science from 2001 to 2015 in Web of Science as the research object, taking metrology as the research subject, based on time series analysis, the topic and keyword co-occurrence analysis to construct a 2-mode network. NetDraw is used to visualize the evolution pattern of each topic. [results / conclusion] by comparing the three evolution models in depth, it is concluded that the global evolution of the subject can be intuitionistic, the historical track and research path of the subject can be grasped systematically, and the thematic cluster evolution model with "cluster shape" as the subnetwork unit, Can be more fine-grained, mining depth higher, more comprehensive system, real and specific simulation of theme evolution, and theme co-evolution, combined with the global evolution and cluster evolution advantages, From the perspective of "connection and development", it can reveal the degree of relevance and the trend of integration and independence of themes in the evolution process.
【作者單位】： 吉林大學(xué)公共衛(wèi)生學(xué)院醫(yī)學(xué)信息學(xué)系;
【基金】：國家自然科學(xué)基金項目“嵌入式知識服務(wù)驅(qū)動下的領(lǐng)域多維知識庫構(gòu)建”(項目編號:71573102)研究成果之一
【分類號】：G353.1
，

本文編號：2088505