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1.
融入内容信息的作者共被引分析——以学科服务研究主题为例 总被引：2，自引：0，他引：2
[目的/意义]为改善作者共被引分析(author co-citation analysis,ACA)在识别学科领域知识结构中缺乏内容信息的不足,将文献内容信息(题名、摘要、关键词)引入到作者共被引分析中,提出一种新的作者共被引分析方法,即"内容与ACA融合的方法(content and author co-citation analysis,C-ACA)"。[方法/过程]以"学科服务"主题领域为例,分别建立ACA作者相似矩阵Aij、作者-内容矩阵并转换为作者相似矩阵Bij;通过构建线性融合函数实现作者文献内容与ACA的融合;最后通过提取作者主题因子成分并在NetDraw环境下进行2-模图可视化,挖掘并呈现学科服务研究领域的知识结构。[结果/结论]与传统ACA方法比较,C-ACA方法能够更准确、更细致地挖掘和揭示学科领域知识结构。 相似文献
2.
Although it is generally understood that different citation counting methods can produce quite different author rankings, and although “optimal” author co-citation counting methods have been identified theoretically, studies that compare author co-citation counting methods in author co-citation analysis (ACA) studies are still rare. The present study applies strict all-author-based ACA to the Information Science (IS) field, in that all authors of all cited references in a classic IS dataset are counted, and in that even the diagonal values of the co-citation matrix are computed in their theoretically optimal form. Using Scopus instead of SSCI as the data source, we find that results from a theoretically optimal all-author ACA appear to be excellent in practice, too, although in a field like IS where co-authorship levels are relatively low, its advantages over classic first-author ACA appear considerably smaller than in the more highly collaborative ones targeted before. Nevertheless, we do find some differences between the two approaches, in that first-author ACA appears to favor theorists who presumably tend to work alone, while all-author ACA appears to paint a somewhat more recent picture of the field, and to pick out some collaborative author clusters. 相似文献
3.
[目的/意义] 知识域可视化是信息可视化衍生出的一个重要分支。基于图书情报学、科学学的研究方法,对知识域可视化研究成果中的共被引与耦合进行全面梳理,分析共被引与耦合在知识域可视化方法中的具体应用,总结知识域可视化的共被引与耦合新发展,引导和推动知识域可视化研究的深入开展。[方法/过程] 在界定知识域、知识域可视化和构建知识域可视化研究框架的基础上,对知识域可视化方法的共被引与耦合进行了归纳和总结,分析了文献共被引方法、作者共被引、期刊共被引、文献耦合方法、作者耦合方法这5种主要的共被引与耦合方法。[结果/结论] 认为以上5种方法是知识域可视化研究的主要方法,而多元引用方法、融合替代计量学的共被引与耦合代表了知识域可视化的新发展。 相似文献
4.
Feifei Wang Chenran Jia Xiaohan Wang Junwan Liu Shuo Xu Yang Liu Chenyuyan Yang 《Journal of Informetrics》2019,13(3):856-873
Constructing academic networks to explore intellectual structure realize academic community detection, which can promote scientific research innovation and discipline progress, constitutes an important research topic. In this study, tripartite citation is fused with co-citation and coupling relations as a way of weighting the strength of direct citations, and all-author tripartite citation networks were constructed due to the contributions of all authors to the resulting publications. For purpose of exploring the potential of the all-author exclusive and inclusive tripartite citation networks, gene editing is taken as a case study. The extensive experimental comparisons are conducted with the traditional author single-citation networks and first-author tripartite citation network in terms of network structure characteristics, identifying core scholars, and exploring intellectual structures. The following conclusions can be drawn as follows: our all-author tripartite citation networks are able to help identify the most influential scholars in the field of gene editing, and the intellectual structures from exclusive tripartite citation networks are optimal. 相似文献
5.
《Journal of Informetrics》2014,8(1):162-174
We have developed a (freeware) routine for “Referenced Publication Years Spectroscopy” (RPYS) and apply this method to the historiography of “iMetrics,” that is, the junction of the journals Scientometrics, Informetrics, and the relevant subset of JASIST (approx. 20%) that shapes the intellectual space for the development of information metrics (bibliometrics, scientometrics, informetrics, and webometrics). The application to information metrics (our own field of research) provides us with the opportunity to validate this methodology, and to add a reflection about using citations for the historical reconstruction. The results show that the field is rooted in individual contributions of the 1920s to 1950s (e.g., Alfred J. Lotka), and was then shaped intellectually in the early 1960s by a confluence of the history of science (Derek de Solla Price), documentation (e.g., Michael M. Kessler's “bibliographic coupling”), and “citation indexing” (Eugene Garfield). Institutional development at the interfaces between science studies and information science has been reinforced by the new journal Informetrics since 2007. In a concluding reflection, we return to the question of how the historiography of science using algorithmic means—in terms of citation practices—can be different from an intellectual history of the field based, for example, on reading source materials. 相似文献
6.
[目的/意义] 作者共被引分析是探索领域知识结构的重要方法,在复杂的学科发展态势下,其依赖于共被引频次的作者关联度度量颇具争议。对此,提出一种基于语义和位置相似的作者共被引分析改良方法。[方法/过程] 在介绍基本原理的基础上,以图情领域为例开展基于语义和位置相似的作者共被引分析改良方法的效果实证,面向CNKI期刊库进行引文全文挖掘,并对引用句及引用位置进行抽取,结合预训练的领域词嵌入模型计算共被引文献间的深层相似度和作者间的关联强度,利用网络分析和因子分析法对比该方法与传统方法的效果差异。[结果/结论] 结果证明,基于语义和位置相似的作者共被引分析改良方法能更准确地识别共被引作者的关联强度,可发现更为细致的学科知识结构,并具有可拓展性与可应用性。 相似文献
7.
文章运用引文分析法对2005-2010年间发表的目录学论文进行统计,从引文量、引文学科种类、高被引作者和高被引论文数量及被引次数、共被引次数四个方面分析目录学发展现状,最后运用引文分析的多元统计方法(聚类分析法、多维尺度分析法)探讨目录学研究的不足之处。 相似文献
8.
Yunrong Li Filippo Radicchi Claudio Castellano Javier Ruiz-Castillo 《Journal of Informetrics》2013,7(3):746-755
Wide differences in publication and citation practices make impossible the direct comparison of raw citation counts across scientific disciplines. Recent research has studied new and traditional normalization procedures aimed at suppressing as much as possible these disproportions in citation numbers among scientific domains. Using the recently introduced IDCP (Inequality due to Differences in Citation Practices) method, this paper rigorously tests the performance of six cited-side normalization procedures based on the Thomson Reuters classification system consisting of 172 sub-fields. We use six yearly datasets from 1980 to 2004, with widely varying citation windows from the publication year to May 2011. The main findings are the following three. Firstly, as observed in previous research, within each year the shapes of sub-field citation distributions are strikingly similar. This paves the way for several normalization procedures to perform reasonably well in reducing the effect on citation inequality of differences in citation practices. Secondly, independently of the year of publication and the length of the citation window, the effect of such differences represents about 13% of total citation inequality. Thirdly, a recently introduced two-parameter normalization scheme outperforms the other normalization procedures over the entire period, reducing citation disproportions to a level very close to the minimum achievable given the data and the classification system. However, the traditional procedure of using sub-field mean citations as normalization factors yields also good results. 相似文献
9.
科学知识图谱在科技期刊编辑工作中的应用 总被引：2，自引：0，他引：2
科学知识图谱是科学学和科学计量学领域的重要研究成果。本文利用引文分析、共被引分析、多元统计分析、词频分析方法以及社会网络分析等方法,以可视化的图形展示科学知识的结构、热点和趋势。认为将科学知识图谱应用于科技期刊编辑工作,能对期刊选题策划、遴选审稿专家等提供重要参考。强调科技期刊编辑应加强科学学和科学计量学理论的学习,熟悉先进的信息处理软件,并正确认识科学知识图谱在编辑工作中的辅助作用。 相似文献
10.
《Journal of Informetrics》2014,8(2):406-418
The journal impact factor is not comparable among fields of science and social science because of systematic differences in publication and citation behavior across disciplines. In this work, a source normalization of the journal impact factor is proposed. We use the aggregate impact factor of the citing journals as a measure of the citation potential in the journal topic, and we employ this citation potential in the normalization of the journal impact factor to make it comparable between scientific fields. An empirical application comparing some impact indicators with our topic normalized impact factor in a set of 224 journals from four different fields shows that our normalization, using the citation potential in the journal topic, reduces the between-group variance with respect to the within-group variance in a higher proportion than the rest of indicators analyzed. The effect of journal self-citations over the normalization process is also studied. 相似文献
11.
基于引证关系的国内情报学领域作者研究活力与影响力分析 总被引：1，自引：0，他引：1
综合采用作者共被引分析、作者文献耦合分析、社会网络分析等方法,对CSSCI收录的2000-2009年情报学领域的8567篇发文和70947篇引文进行作者共被引关系和作者文献耦合关系的深入发掘,对引证关系视角下的国内情报学领域作者研究活力与影响力进行尝试性探索,并对该领域的研究模式与主题演化作进一步的归纳分析,以期对国内情报学研究的深入开展提供一定参考. 相似文献
12.
《Journal of Informetrics》2023,17(1):101381
Main path analysis (MPA) is an effective method widely accepted in science and technology for extracting knowledge diffusion paths. Traditional citation analysis assumes that all citations are treated equally. In contrast, this paper proposes a new MPA framework from the perspective of citation structure and content. Three indicators are considered to adjust edge weight: (1) Structural similarity, (2) Topic similarity and (3) Sentiment analysis. This study takes the bullwhip effect and the Internet of Things domain as examples to verify the reliability and feasibility of improved MPA. The results show that the improved main path uncovers the knowledge trajectories appropriately, which has an ability to distinguish citations and detect important papers. This research enriches MPA theory and provides future research directions from perspective of citation structure and content. 相似文献
13.
首先对我国图书馆学方法论研究作了简单的评述,然后分析引文分析法在进入21世纪以后在图书馆学研究中所起到的重要作用以及这种方法对图书馆学研究所具有的独特作用,由此认为引文分析法是图书馆学研究的一种十分重要的、名副其实的专门方法,并提出必须进一步研究引文分析法。 相似文献
14.
基于引文分析法的国内"参考咨询"的研究现状分析 总被引：6，自引：1，他引：6
本文以CSSCI数据库提供的被引数据为数据源,以“参考咨询”类论文为对象,利用引文分析方法,从引文量、高被引作者和高被引论文数量及被引次数、共被引次数三个方面,挖掘了论文“参考文献”中的隐含信息,从中分析近年来“参考咨询”研究的现状,指出其中存在的不足之处。最后讨论了用于引文分析的多元统计方法(聚类分析法、多维尺度分析法)针对不同对象的适用性。 相似文献
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16.
In this study we map out the large-scale structure of citation networks of science journals and follow their evolution in time by using stochastic block models (SBMs). The SBM fitting procedures are principled methods that can be used to find hierarchical grouping of journals that show similar incoming and outgoing citations patterns. These methods work directly on the citation network without the need to construct auxiliary networks based on similarity of nodes. We fit the SBMs to the networks of journals we have constructed from the data set of around 630 million citations and find a variety of different types of groups, such as communities, bridges, sources, and sinks. In addition we use a recent generalization of SBMs to determine how much a manually curated classification of journals into subfields of science is related to the group structure of the journal network and how this relationship changes in time. The SBM method tries to find a network of blocks that is the best high-level representation of the network of journals, and we illustrate how these block networks (at various levels of resolution) can be used as maps of science. 相似文献
17.
基于被引次数的引文分析无法直接揭示论文的研究内容,利用关键词或从标题、摘要和全文中抽取的主题词很难客观反映论文的被引原因。本文以碳纳米管纤维研究领域的高被引论文为研究对象进行引文内容抽取和主题识别,经人工判读验证：基于引文内容分析的高被引论文识别的核心主题能够较好地揭示高被引论文的被引原因（引用动机）,而且与论文的研究内容相符合;与基于全文、基于标题和摘要的主题识别相比,在引文内容分析基础上识别的主题具有更好的主题代表性,能够有效揭示被引文献的研究内容,是对原文相关信息的重要补充。本文的实验表明基于引文内容分析的高被引论文主题识别是可行而且有效的。图4。表4。参考文献31。 相似文献
18.
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
19.
In citation network analysis, complex behavior is reduced to a simple edge, namely, node A cites node B. The implicit assumption is that A is giving credit to, or acknowledging, B. It is also the case that the contributions of all citations are treated equally, even though some citations appear multiply in a text and others appear only once. In this study, we apply text-mining algorithms to a relatively large dataset (866 information science articles containing 32,496 bibliographic references) to demonstrate the differential contributions made by references. We (1) look at the placement of citations across the different sections of a journal article, and (2) identify highly cited works using two different counting methods (CountOne and CountX). We find that (1) the most highly cited works appear in the Introduction and Literature Review sections of citing papers, and (2) the citation rankings produced by CountOne and CountX differ. That is to say, counting the number of times a bibliographic reference is cited in a paper rather than treating all references the same no matter how many times they are invoked in the citing article reveals the differential contributions made by the cited works to the citing paper. 相似文献
20.
基于引文内容分析的引用情感识别研究 总被引：1，自引：0，他引：1
[目的/意义]针对自动识别论文引用情感问题,提出一种基于引文内容分析的识别方法并进行可视化展示,克服基于简单引用频次计量无法区分不同引用情感的问题。[方法/过程]首先,利用正则表达式抽取出论文全文中的引文内容信息;然后,利用TF-IDF算法筛选出引用情感特征词,结合情感词典,利用情感分析技术对引文内容进行引用情感识别;最后,利用可视化工具展示出引用情感整体分布情况。[结果/结论]该方法能够有效识别出抗衰老领域论文数据集中引用情感情况。实验结果显示,该领域正面引用占总引用次数的21%,中立引用占总引用次数的78%,负面引用仅占总引用次数的1%。与传统引文网络相比较,基于引用情感的可视化图谱可以有效识别出不同引用情感在整体数据集合上的分布情况。 相似文献