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Evolutionary exploration and comparative analysis of the research topic networks in information disciplines
Scientometrics ( IF 3.9 ) Pub Date : 2021-04-26 , DOI: 10.1007/s11192-021-03963-6
Xiaoguang Wang , Hongyu Wang , Han Huang

“Information Science and Library Science” (LIS) and “Computer Science” (CS) are two information-related disciplines with similar academic context and culture, and their research topics are moderately associated. To uncover the differences and similarities of their research topics in the aspect of dynamic distribution, and explore the future development state of relevant research, this study collected a set of scientific papers from 2014 to 2019 on the Web of Science to construct the co-keyword network sequences for the disciplines of LIS and CS respectively. The networking topology and evolutionary context of research topics in recent research of these two information-related disciplines were analyzed through a self-developed visualization tool for network evolution analysis—NEViewer. This study suggests that CS pays more attention to the studies of information technologies, while LIS focuses more on the communication, organization, access, and use of information. Meanwhile, based on the perspective of discipline-comparative, the development patterns in these two disciplines were summarized. That is, the research connotation of CS is more concentrated while the research denotation of LIS is more extensive, and the research hotspots of LIS have shifted slightly faster, while the continuity of the research development in CS is slightly higher. The results reported in this study also show that there is moderate interdisciplinarity in the research and application of information technology between these two disciplines, which indicates that some increasingly mature technologies in CS will be more deeply applied in the future research of LIS.



中文翻译:

信息学科研究主题网络的进化探索与比较分析

“信息科学与图书馆科学”(LIS)和“计算机科学”(CS)是两个具有相似学术背景和文化的信息相关学科,它们的研究主题具有中等的关联性。为了揭示他们在动态分布方面研究主题的异同,并探索相关研究的未来发展状况,本研究在Web of Science上收集了2014年至2019年的一组科学论文,以构建共同关键词。 LIS和CS学科的网络序列。通过自主开发的网络演化分析可视化工具NEViewer,对这两个与信息相关学科的最新研究进行了研究的网络拓扑和演化主题。这项研究表明,CS更加关注信息技术的研究,而LIS则更加关注信息的交流,组织,访问和使用。同时,从学科比较的角度,总结了这两个学科的发展模式。也就是说,CS的研究内涵更加集中,而LIS的研究内涵更加广泛,LIS的研究热点转移得更快,而CS的研究发展的连续性则更高。这项研究报告的结果还表明,这两个学科之间在信息技术的研究和应用方面存在中等程度的交叉学科,

更新日期:2021-04-27
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