学科知识结构主题演化模式研究——以图书情报学领域“计量学”主题为例

发布时间：2018-07-01 17:20

  本文选题：学科知识结构 + 主题演化　； 参考：《图书情报工作》2017年12期

【摘要】：[目的 /意义]提出3种主题演化模式:主题全局演化、主题团簇演化和主题协同演化,以期梳理学科知识结构的演化模式,进一步丰富揭示学科知识结构的研究范式。[方法 /过程]以Web of Science中2001-2015年间图书情报学领域的核心期刊文献数据为研究对象,以"计量学"为研究主题,基于时序分析、主题-关键词共现分析构建2-模网络,利用NetDraw对各主题演化模式进行可视化呈现。[结果 /结论]通过深入比较3种演化模式得出:主题全局演化可以直观、系统把握学科的历史轨迹和研究路径;以"团簇状"为子网络单元的主题团簇演化模式,可以更为细粒度、挖掘深度更高、更全面系统、真实具体地仿真主题演化;而主题协同演化,结合全局演化和团簇演化的优势,能以"联系与发展"的视角揭示主题在演化过程中彼此之间的关联程度及其融合与独立趋势。
[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.
【作者单位】： 吉林大学公共卫生学院医学信息学系;
【基金】：国家自然科学基金项目“嵌入式知识服务驱动下的领域多维知识库构建”(项目编号:71573102)研究成果之一
【分类号】：G353.1
，

本文编号：2088505