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1.
《The Journal of Academic Librarianship》2022,48(4):102535
The aim of this study was to examine the interdisciplinarity of research data in the science, technology, engineering, and mathematics (STEM) fields. The findings revealed that interdisciplinarity was not distributed evenly across journals serving the STEM fields. Based on the diversity of the references as measured by the Gini coefficient index, the mathematical sciences showed the greatest inequality, followed by astronomy/physics, the earth sciences, the biological sciences, and technology. Based on the number of Essential Science Indicator (ESI) fields, the biological sciences showed the greatest variety, followed by the earth sciences, technology, the mathematical sciences, chemistry, and computing, while engineering showed no variety. Lastly, based on the Leydesdorff interdisciplinarity formula outcomes, the earth sciences showed the greatest diversity, but earth sciences articles were cited in articles in fewer fields than biological sciences articles. This study contributes to the study of interdisciplinary data citation for data sharing and reuse in STEM fields with respect to the measurement of the balance, variety, and diversity of research data. 相似文献
2.
当前的期刊评价研究主要集中在影响力、声誉、质量等方面,针对期刊内容差异性的定量研究相对较少。本文从差异性视角来对期刊进行评价分析,提出期刊区分度指标来对期刊内容的差异程度进行度量。以LIS (library and information science)等5个学科的各20种核心期刊为研究对象,首先对LIS期刊的内容差异性进行定量分析与评价,然后从时间维度对LIS学科期刊区分度的变化规律进行了探测,最后从学科维度对不同学科期刊个体和总体区分度的特征进行了分析和探讨。实验结果表明,利用该指标能够很好地度量期刊研究内容差异性,期刊区分度在时间维度上呈现出明显的变化规律,不同学科期刊个体和总体的区分度均具有显著的学科特征。 相似文献
3.
《Journal of Informetrics》2022,16(3):101310
As science is becoming more interdisciplinary and potentially more data driven over time, it is important to investigate the changing specialty structures and the emerging intellectual patterns of research fields and domains. By employing a clustering-based network approach, we map the contours of a novel interdisciplinary domain – research using social media data – and analyze how the specialty structures and intellectual contributions are organized and evolve. We construct and validate a large-scale (N = 12,732) dataset of research papers using social media data from the Web of Science (WoS) database, complementing it with citation relationships from the Microsoft Academic Graph (MAG) database. We conduct cluster analyses in three types of citation-based empirical networks and compare the observed features with those generated by null network models. Overall, we find three core thematic research subfields – interdisciplinary socio-cultural sciences, health sciences, and geo-informatics – that designate the main epicenter of research interests recognized by this domain itself. Nevertheless, at the global topological level of all networks, we observe an increasingly interdisciplinary trend over the years, fueled by publications not only from core fields such as communication and computer science, but also from a wide variety of fields in the social sciences, natural sciences, and technology. Our results characterize the specialty structures of this domain at a time of growing emphasis on big social data, and we discuss the implications for indicating interdisciplinarity. 相似文献
4.
Recent advances in methods and techniques enable us to develop interactive overlays to a global map of science based on aggregated citation relations among the 9162 journals contained in the Science Citation Index and Social Science Citation Index 2009. We first discuss the pros and cons of the various options: cited versus citing, multidimensional scaling versus spring-embedded algorithms, VOSViewer versus Gephi, and the various clustering algorithms and similarity criteria. Our approach focuses on the positions of journals in the multidimensional space spanned by the aggregated journal–journal citations. Using VOSViewer for the resulting mapping, a number of choices can be left to the user; we provide default options reflecting our preferences. Some examples are also provided; for example, the potential of using this technique to assess the interdisciplinarity of organizations and/or document sets. 相似文献
5.
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
6.
文章通过Scopus数据库和SciVal分析平台,统计分析首批入选“中国科技期刊卓越行动计划”高校自然科学学报的载文量、总被引频次、篇均被引频次、高被引论文比、零被引论文比、中国学者引用贡献率、CiteScore及其百分位、发文的专业化程度等指标,定量展示入选的高校自然科学学报的国际影响力现状及差异。研究结果表明,入选的中文学报国际影响力有限,不宜过分强调国际化;入选的英文学报国际影响力有很大提升空间,提倡立足于本土的国际化;中文和英文学报均应凸显专业化特征,坚持高质量发展。 相似文献
7.
8.
ResearchGate为代表的学术社交网络逐渐引起图情学科用户的重视,针对其高影响力科研成果主题内容的揭示,将丰富用户对不同媒介下学科的发展动向与研究重点的认知,亦有助于合理利用学术社交网络来提升个人影响力。文章选取学术社交网络中图情学科高影响力科研成果为研究对象,构建LDA模型挖掘摘要内容,引入来源年份信息分析各时期主题演化情况,在跨媒介比较中揭示网络交流背景下其呈现的内容特征。研究提炼健康信息学、用户信息行为、算法技术、应用开发、通信网络5个主题。从主题强度变化来看,健康信息学表现平稳,用户信息行为、通信网络呈现上升趋势,算法技术、应用开发整体出现下降。与期刊等传统媒介得到的结论相比,学术社交网络中的研究主题与其虽具有一定相似性,但更凸显出学科交叉融合特征。 相似文献
9.
《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
10.
利用引文内容进行主题级学科交叉类型分析 总被引：1，自引：0，他引：1
[目的/意义]针对学科交叉宏观研究不能刻画学科交叉主题,以及学科交叉微观研究仍处于主题挖掘研究阶段的现状,从内容层面解决主题学科交叉度计算问题,并构建学科交叉分类的量化标准。[方法/过程]首先,采集学术论文并解析引文内容;利用术语集获取术语和术语主题。然后,统计引文内容中的主题术语重复率。接着,计算学科间的主题学科交叉度。最后,基于主题学科交叉度分布熵,进行分类并分析。[结果/结论]研究结果表明：①六个学科难以与医学在实践应用知识层面进行学科交叉;医学的理论基础与六个学科有明显的学科知识交叉。②学科交叉存在三种类型分别为：界内交叉、工具型交叉和界外交叉。综上,通过引文内容中的术语可以有效地计算主题学科交叉度,定量地研究学科交叉类型。 相似文献
11.
《Journal of Informetrics》2022,16(1):101226
This paper explores intellectual and social proximity among scholarly journals by using network fusion techniques. Similarities among journals are initially represented by means of a three-layer network based on co-citations, common authors and common editors. The information contained in the three layers is then combined by building a fused similarity network. The fusion consists in an unsupervised process that exploits the structural properties of the layers. Subsequently, partial distance correlations are adopted for measuring the contribution of each layer to the structure of the fused network. Finally, the community morphology of the fused network is explored by using modularity. In the three fields considered (i.e. economics, information and library sciences and statistics) the major contribution to the structure of the fused network arises from editors. This result suggests that the role of editors as gatekeepers of journals is the most relevant in defining the boundaries of scholarly communities. In information and library sciences and statistics, the clusters of journals reflect sub-field specializations. In economics, clusters of journals appear to be better interpreted in terms of alternative methodological approaches. 相似文献
12.
基于熵权TOPSIS及因子分析的学术期刊综合评价研究 总被引：1，自引：0，他引：1
[目的/意义] 对图书馆学情报学期刊的综合质量进行评价,发现样本期刊质量在评价年间的变化,为期刊评价研究提供新的思路。[方法/过程] 以2011-2017年版《中国科技期刊引证报告》为数据源,选取34种图书馆学情报学类期刊为样本期刊,经过筛选得到7个指标,使用熵权法结合因子分析计算各指标权重,通过TOPSIS法计算各年期刊综合得分并构建综合评价矩阵。最终对综合评价矩阵进行聚类分析得到2010-2016年图书馆学情报学类期刊分档情况。[结果/结论] 结果表明：①进行期刊评价时应对评价指标进行严格筛选;②各指标所属的公因子趋于稳定;③为指标设置不同权重以体现其意义;④载文质量高于载文数量;⑤图书馆学情报学期刊存在"马太效应";⑥图书馆学情报学期刊需要进一步发展。 相似文献
13.
从整体而言,期刊因其属性的近似,它们之间有着相互的联系。这种联系应作为一种文化现象,作更深层的理解与思考。作为系统科学,任何期刊都处于纵横交错的复杂联系之中,形成网络结构。这种联系实际上是现代文化背景下的一种交流行为。尽管期刊的联系有其共同基础,但它是错综复杂的,表现为多元化、交叉型、双向性和选择性等特点。期刊的整体联系,大于其纵横联系之和,结构上整体联系是纵横联系的空间构合。期刊相互联系可以增强它们的整体效应,可以提高期刊质量,促进其标准化、规范化,可以提高编辑人员的水平和锤炼编辑队伍,并可以促进期刊的理论建设,对传播学和编辑学的建立和发展有所推动。 相似文献
14.
科技期刊编辑跟踪学术前沿的途径 总被引：3，自引：2，他引：1
科技期刊的发展要求其编辑应了解所关注领域的学术前沿动态和发展方向,跟踪以新理论、新方法、新问题、前瞻性为标志的"学术前沿"对于科技期刊提高学术影响力具有重要意义.目前科技期刊编辑对学术前沿问题研究的整体性和深度的把握还存在较大不足,可通过综合利用国内外高水平期刊和数据库、关注业内专家的学术研究动态、关注国家的科技政策、关注国家重大科研项目的申请指南及批准情况、参与学术交流、参与科研工作等途径,培养编辑人员对学术前沿的领悟力、洞察力和判断力,敏锐地把握学术发展方向,促进期刊学术质量的全面提升. 相似文献
15.
在大数据环境下,科研合作是提高科研水平、促进科研产出的重要途径。如何在浩如烟海的学者、机构、领域信息中准确地找到与自身研究方向相近的合作对象是近年来科研合作预测的研究重点。本文通过科学学领域科学文献的记录数据,构建作者-作者、机构-机构、作者-机构、作者-关键词、机构-关键词的共现网络,接着通过网络表示方法学习作者、机构、关键词在所处网络中的语境信息,将信息实体表示成相同空间的低维稠密向量,最后根据表示向量的相似度计算实现合作对象、合作领域挖掘。通过网络表示学习方法能实现多种异质信息融合,定量计算各信息实体间的关联强度,可以很好地捕捉科研网络中学者-学者、学者-机构、学者-关键词的关系,准确地为学者挖掘潜在合作者、合作机构和关键词。 相似文献
16.
Questions of definition and measurement continue to constrain a consensus on the measurement of interdisciplinarity. Using Rao-Stirling (RS) Diversity sometimes produces anomalous results. We argue that these unexpected outcomes can be related to the use of “dual-concept diversity” which combines “variety” and “balance” in the definitions (ex ante). We propose to modify RS Diversity into a new indicator (DIV) which operationalizes “variety,” “balance,” and “disparity” independently and then combines them ex post. “Balance” can be measured using the Gini coefficient. We apply DIV to the aggregated citation patterns of 11,487 journals covered by the Journal Citation Reports 2016 of the Science Citation Index and the Social Sciences Citation Index as an empirical domain and, in more detail, to the citation patterns of 85 journals assigned to the Web-of-Science category “information science & library science” in both the cited and citing directions. We compare the results of the indicators and show that DIV provides improved results in terms of distinguishing between interdisciplinary knowledge integration (citing references) versus knowledge diffusion (cited impact). The new diversity indicator and RS diversity measure different features. A routine for the measurement of the various operationalization of diversity (in any data matrix) is made available online. 相似文献
17.
《Journal of Informetrics》2022,16(2):101255
This study explores the topic-based interdisciplinarity in the research domain of literacy. A text corpus of keywords was generated through a deep keyword generation model from abstracts of 346,387 articles published in 296 disciplines from 1917 to 2021. Dirichlet-Multinomial Regression topic modeling, interdisciplinarity indices, and network analysis were employed to analyze the collected corpus. Topic modeling uncovered 15 dominant research topics in the literacy field, as well as their up-and-down trends from 2000 to 2021. For each topic, keywords were then replaced with disciplines, and interdisciplinarity was measured using four indices: variety, balance, disparity, and diversity. Finally, the interdisciplinarity of each topic, connectivity between topics, and topic trends were comprehensively analyzed on the keyword co-occurrence network. Our methodology reaches beyond connectivity limited to a few disciplines and provides insight into the direction of collaboration between disciplines centered on a research domain. Moreover, the study's deep keyword generation model has methodological implications for forming a corpus spanning numerous disciplines as a bottom-up approach. 相似文献
18.
《Journal of Informetrics》2023,17(3):101410
As interdisciplinary research attracts more attention, interdisciplinarity has also become a significant factor to be explored for scientific impact. This study explored the influence of interdisciplinarity on scientific impact in the field of climate change, based on data from Web of Science. Taking newly-developed indicator DIV* and its components variety, balance, and disparity as interdisciplinarity measures, we used OLS regression with robust standard errors and topic analysis to analyze their relationships with short-term and long-term scientific impact, respectively. We found that (1) DIV* has an inverted U-shaped relationship with scientific impact in overall positive correlation. Since most scientific publications are distributed before the inflection point of the U-shaped curve, both long- and short-term scientific impact increased with the growth of interdisciplinarity with a declining growth rate in most cases. (2) For the three components of DIV*, balance and disparity are negatively and positively correlated with scientific impact, respectively, while variety has an inverted U-shaped relationship with scientific impact. (3) In terms of eight sub-topics of climate change research classified by LDA, a technique used for topic modeling, their relationships between interdisciplinarity and scientific impact are generally consistent with the overall data sample. Before the inflection point, high scientific impacts benefited from high interdisciplinarity. These findings provided theoretical and decision-making support for evaluating the impact of interdisciplinary research in the field of climate change. 相似文献
19.
以SCI和SSCI收录的7种情报学期刊在2000-2010年间的数据为样本,以作者文献耦合分析方法为研究视角,探寻新世纪以来情报学的知识结构。研究探测到：①情报学领域的几位具有较强研究活力以及广泛影响力的学者,作者的发文数、耦合频次以及作者在耦合网络中的中心性都是有关系的,但这种相关关系表现得并不强。②情报学的7个主要研究主题——科学计量学、网络资源管理与配置、信息检索、信息系统、知识管理、用户交互与服务、科学评价中,其科学计量学和网络资源管理与配置是两个主流研究主题;各研究主题之间的融合还有待于进一步加强。③与作者文献共被引分析法不同,作者文献耦合分析法以当前活跃的作者为分析对象,它可以从另一个角度来探析情报学的知识结构状况。 相似文献
20.
选取图书馆学、情报学领域各4种核心期刊,构建近30年的关键词共现网络,引入学科隶属度和G-N聚类算法,对图书馆学、情报学领域的知识地图进行共时和历时分析。研究发现:该领域的关键词共现网络符合复杂网络的基本特征。共时分析发现:可将该领域划分为10个板块;属于情报学的5个(信息组织、信息检索、文献计量学、用户研究与服务、网络技术);属于图书馆学的4个(信息资源建设、文献学、资源共建共享、图书馆事业);两学科关注度相当的1个(开放存取)。历时分析发现:1990年以前图书馆学研究的体系性更强;1990-2000年,情报学的发展态势强于图书馆学;2000年后图书馆学则强于情报学。 相似文献