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为支持科技知识创新,科技创新路径识别已经成为情报学研究的热点主题。在梳理科技创新路径识别研究的数据源、研究方法以及可视化工具研究现状的基础上,重点分析基于关键词或者主题词识别和基于引文全文的语义分析识别两种主要的科技创新路径识别方法,并对Sci2、HistCite、CiteSpace以及VOSviewer 4种可视化工具进行比较分析,进而指出基于引文分析的科技创新路径识别研究面临的挑战并展望其在数据集、研究方法、研究技术以及研究结果方面的未来发展趋势,以期为科技创新路径识别研究提供支持和帮助。 相似文献
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科学计量可视化软件的对比与数据预处理研究 总被引：2，自引：0，他引：2
从软件运行平台、数据来源、数据文件格式要求、数据导入规模与处理规模等角度对10款科学计量软件（Bibexcel、Bicomb、CiteSpace、HistCite、NetDraw、Pajek、SATI、SPSS、Ucinet、VOSviewer）的数据预处理要求进行比较,发现：CNKI、万方、CSSCI和WoS数据库的数据可由不同的软件处理;不同的软件仅能处理相应格式的Text、Excel、Html和其他文件格式的文件;软件不同,所能处理的数据量也有所差别。 相似文献
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论文对目前常用的两种文献计量可视化工具Cite Space和Hist Cite的功能进行比较分析。通过设计八个文献计量学指标作为两种工具的实验分析指标,以SCI中2003-2012年电子政务主题的1388篇研究性文献为实验文献样本,对这两种工具在事先设定好的八个文献计量学指标中的功能表现进行分析。最终从具体分析功能、图谱可读性和支持的数据格式三个角度对这两个工具的功能进行了对比。 相似文献
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论文以SSCI和CSSCI数据库收录的以数字资源为主题的文献为研究对象,通过信息可视化软件(CiteSpaceⅡ、HistCite及Netdraw)的分析和处理,用知识图谱的方式展示了国内外数字资源领域的重要学术文献和代表性的研究力量,得出了各阶段的研究热点,并分析探讨了国内外研究状况的差异及其产生原因。 相似文献
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本文基于引文分析方法,对2006—2015年国内学者参与发表的环境卫生与职业卫生学领域的6995篇SCI论文进行文献计量分析。采用HistCite引文编年可视化分析工具,绘制引文编年图,分析环境卫生与职业卫生学研究现状,找出该领域的重要机构、期刊和核心文献。结果本研究分析SCI文献6995篇,涉及机构5275家,包含作者18571位,分布于162种期刊,施引文献173354条,关键词10287个。2006—2015年国内环境卫生与职业卫生领域SCI发文量年均增长率1.14%。研究结果帮助了解2006—2015年该学科领域的研究规律和发展趋势,识别重要的研究机构、期刊和著作,为开展后续科研工作加以指导。 相似文献
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We evaluate article-level metrics along two dimensions. Firstly, we analyse metrics’ ranking bias in terms of fields and time. Secondly, we evaluate their performance based on test data that consists of (1) papers that have won high-impact awards and (2) papers that have won prizes for outstanding quality. We consider different citation impact indicators and indirect ranking algorithms in combination with various normalisation approaches (mean-based, percentile-based, co-citation-based, and post hoc rescaling). We execute all experiments on two publication databases which use different field categorisation schemes (author-chosen concept categories and categories based on papers’ semantic information).In terms of bias, we find that citation counts are always less time biased but always more field biased compared to PageRank. Furthermore, rescaling paper scores by a constant number of similarly aged papers reduces time bias more effectively compared to normalising by calendar years. We also find that percentile citation scores are less field and time biased than mean-normalised citation counts.In terms of performance, we find that time-normalised metrics identify high-impact papers better shortly after their publication compared to their non-normalised variants. However, after 7 to 10 years, the non-normalised metrics perform better. A similar trend exists for the set of high-quality papers where these performance cross-over points occur after 5 to 10 years.Lastly, we also find that personalising PageRank with papers’ citation counts reduces time bias but increases field bias. Similarly, using papers’ associated journal impact factors to personalise PageRank increases its field bias. In terms of performance, PageRank should always be personalised with papers’ citation counts and time-rescaled for citation windows smaller than 7 to 10 years. 相似文献
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以Web of Science的艾滋病疫苗研究文献作为数据来源,利用引文分析可视化软件HistCite,找出代表艾滋病疫苗研究领域发展的重要文献,并分析文献之间引用与被引用关系和引用序列,获得引文编年图谱,梳理出艾滋病疫苗研究领域的发展规律和历史发展轨迹,为国内外相关领域的研究人员提供一定的参考。 相似文献
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We investigate the contributions of scientific software to library and information science (LIS) research using a sample of 572 English language articles published in 13 journals in 2008, 2011, 2014, and 2017. In particular, we examine the use and citation of software freely available for academic use in the LIS literature; we also explore the extent to which researchers follow software citation instructions provided by software developers. Twenty-seven percent of the LIS journal articles in our sample explicitly mention and use software. Yet although LIS researchers are becoming increasingly reliant on software that is freely available for academic use, many still fail to include formal citations of such software in their publications. We also find that a substantial proportion of researchers, when documenting software use, do not cite the software in the manner recommended by its developers. 相似文献
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利用知识可视化软件（CiteSpace Ⅱ）,对Web of Science（SCI-E,SSCI）中1975-2010 年收录的2863 篇引
文分析论文进行研究。分别分析引文研究文献的时间分布、地区分布、机构分布、期刊分布、学科分布以及学科代表人
物与其经典作品,从而直观地揭示引文分析研究发展的现状,并通过对关键词出现的频率和共现情况,确定引文分析研
究热点,基于主题词变动趋势描绘引文分析的研究前沿。 相似文献
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Gui-Yuan Shi Yi-Xiu Kong Guang-Hui Yuan Rui-Jie Wu An Zeng Matúš Medo 《Journal of Informetrics》2019,13(2):717-725
Identifying the future influential papers among the newly published ones is an important yet challenging issue in bibliometrics. As newly published papers have no or limited citation history, linear extrapolation of their citation counts—which is motivated by the well-known preferential attachment mechanism—is not applicable. We translate the recently introduced notion of discoverers to the citation network setting, and show that there are authors who frequently cite recent papers that become highly-cited in the future; these authors are referred to as discoverers. We develop a method for early identification of highly-cited papers based on the early citations from discoverers. The results show that the identified discoverers have a consistent citing pattern over time, and the early citations from them can be used as a valuable indicator to predict the future citation counts of a paper. The discoverers themselves are potential future outstanding researchers as they receive more citations than average. 相似文献
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[目的/意义]探讨如何从大量论文中快速发现相关论文,研究论文主题创新的方法,为研究者阅读和利用期刊论文提供参考。[方法/过程]在对论文主题创新和自引网络概念界定的基础上,提出研究论文主题创新的思路、方法和工具。以美国印第安纳大学在图书情报学领域的论文为例进行实证研究。[结果/结论]利用主路径分析可以快速从自引网络中发现由于引用而产生联系的论文,在此基础上可以进行主题创新分析。 相似文献
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《Journal of Informetrics》2022,16(1):101225
Citation behaviour is the source driver of scientific dynamics, and it is essential to understand its effect on knowledge diffusion and intellectual structure. This study explores the effect of citation behaviour on disciplinary knowledge diffusion and intellectual structure by comparing three types of citation behaviour trends, namely the high citation trend, medium citation trend, and low citation trend. The diffusion power, diffusion speed, and diffusion breadth were calculated to quantify knowledge diffusion. The properties of the global and local citation network structure were used to reflect the particular influences of citation behaviour on the scientific intellectual structure. The primary empirical results show that (a) the high citation behaviour trend could improve the knowledge diffusion speed for papers with a short citation history span. Additionally, the medium citation trend has the broadest diffusion breadth whereas the low citation behaviour trend might make the citation counts take off for papers with a long citation history span; (b) the high citation trend has a stronger influence and greater control over the intellectual structure, but this relationship is true only for papers with a short or normal citation history span. These findings could play important roles in scientific research evaluation and impact prediction. 相似文献
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[目的/意义]确定基于引用关系提取关键文献时各种方法的优缺点、适用场合,从而使用户快速捕捉领域重要文献,掌握领域概貌。[方法/过程]基于文献引用关系,从文献被引频次、文献引用网络、文献共被引网络3个角度,结合HistCite、CiteSpace等软件探讨领域关键文献的识别方法,通过同源数据的实际验证,对不同方法进行判别比较。[结果/结论]基于被引频次的方法更适合选择特定领域中哪些文献对总体文献的科学进步产生重大影响角度提取关键文献,对应的关键文献集合呈现非常分散的特性;基于引用网络的方法更适合从特定领域研究动态提取发展过程中的关键文献,对应的关键文献集合呈现非常明显的集中特性;基于共被引网络的方法更适合从特定领域研究基础角度提取关键文献,对应的关键文献集合呈现较强的集中性,且能发现原始采集中未发现的大量关键文献。 相似文献
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In the Essential Science Indicators (Thomson Reuters), a research front exists to the h index (entitled “GOOGLE SCHOLAR H-INDEX; SCIENCE CITATION INDEX; GENERALIZED HIRSCH H-INDEX; H INDEX; GOOGLE SCHOLAR CITATIONS”) consisting of a group of highly cited papers. We used HistCite to analyze the structure and relationships of the 45 papers forming the h index research front. Since we were interested in the topics of research on the h index at the front, we classified each paper according to its main topic. Six topics (inductively generated) were sufficient to classify the 45 papers: (1) citation database, (2) empirical validation study, (3) new application, (4) theoretical analysis, (5) new index development, and (6) literature review. 相似文献
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马宇驰 《图书馆理论与实践》2021,(2):65-72
为了解近五年图书情报学在SCI优质期刊中的研究主流及研究热点,提供借鉴及潜在研究方向,本研究提取Web of Science中2018年Journal Citation Reports排名靠前的期刊上发表的论文及其引文数据,应用“DEAN”数据清洗流程,借助CiteSpace软件进行分析并绘制可视化图谱,分别从发文机构、著者、研究热点等角度对国际图书情报学研究状态及成果进行分析识别,分析各聚类的代表文章,归纳领域主流研究热点。 相似文献
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《Journal of Informetrics》2014,8(3):594-605
This study presents a unique approach in investigating the knowledge diffusion structure for the field of data quality through an analysis of the main paths. We study a dataset of 1880 papers to explore the knowledge diffusion path, using citation data to build the citation network. The main paths are then investigated and visualized via social network analysis. This paper takes three different main path analyses, namely local, global, and key-route, to depict the knowledge diffusion path and additionally implements the g-index and h-index to evaluate the most important journals and researchers in the data quality domain. 相似文献
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[目的/意义]对图书情报领域的国际发文情况、研究热点以及学科前沿进行研究,有助于推动图情学科的发展,提升我国学术话语权。[方法/过程]以SCI和SSCI收录的图书情报领域高影响力外文期刊论文为数据源,利用HiStCite、CiteSpace、SPSS等工具从研究现状、高影响力学者、高被引论文、研究热点、前沿趋势5个方面分析近5年来(2016-2020年)图情领域的发展状况。通过对高频关键词的年度变化分析,总结四种呈现不同态势的关键词,并对低频关键词进行透视,得出人文、技术和管理三个维度的发展主题。[结果/结论]随着信息技术的不断发展和信息环境的不断变化,图情学科研究主题由传统信息服务向知识服务,由知识组织与管理相关研究向知识组织体系构建等研究主题进一步延伸和细化,且注重理论和实践相结合已日渐成为图情档学科研究的重要趋势。 相似文献
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[目的/意义]基于科学论文发表后的早期特征,准确预测论文未来的引文扩散演变模式,对科学产出评估、科学突破早期发现等都具有潜在的价值。[方法/过程]归纳总结9种不同的引文扩散演变模式,并基于论文自发表后的早期时序、结构和文献特征,建模预测未来一定引文窗口内的演变模式。选择美国物理学会的引文数据集进行实证研究,探究不同特征组合下引文扩散演变模式的预测效果。[结果/结论]结果显示,时序特征对预测模型的贡献程度最大,同时结构特征和文献特征也起到重要的作用,当融合3个特征时所有预测模型的准确率均超过了80%,证明了本文所选特征的有效性。 相似文献