Bibliometric Network Analysis and Visualization for Serials Librarians: An Introduction to Sci2

ABSTRACT

Bibliometric data have the potential to inform collection development, describe institutional scholarship strengths and citation patterns, and suggest potential areas of research collaboration. This article introduces methods of using data from citation databases to generate bibliometric analyses of journal titles, subject matter, and coauthorship networks using the open software tool Science of Science (Sci2). These analyses can be used to enhance responsive institutional and network collecting and to connect users to additional research and publication partners.     

IFLA Library Reference Model,RDA, and Serials in a Nutshell

Abstract

IFLA Library Reference Model (IFLA LRM) represents the consolidation of Functional Requirements for Bibliographic Records (FRBR) and the two other conceptual models of the Functional Requirements (FR) family, the Functional Requirements for Authority Data (FRAD) and the Functional Requirements for Subject Authority Data (FRSAD). IFLA LRM includes a specific section (5.8) devoted to serials. The RDA Steering Committee adopted IFLA LRM as the conceptual model for the development of RDA in November 2016. The 3R (RDA Toolkit Restructure and Redesign) Project’s purpose is partly to make RDA compatible with the IFLA LRM. A beta version of the English-language content of the RDA Toolkit, which incorporates the IFLA LRM, was released in June 2018. This column explores, in lay terms, serials in relation to the IFLA LRM and the RDA Toolkit Restructure and Redesign (3R) Project. The beta version of the restructured and redesigned RDA Toolkit introduces several new concepts relating to serials.     

Serials spoken here: Reports on conferences institutes and seminars

Abstract

This installment of Bits and Bytes addresses Geac's ADVANCE integrated library system release 6.82. By tracing serial titles through the entire library processing route, the reader follows how ADVANCE facilitates each routine, from ordering to receiving to check-in (including claiming and binding). Serials Review 2002; 28:116–125.     

基于空间关联网络结构的中国省域协同碳减排研究

利用1997-2014年的省域数据,运用社会网络分析方法对中国省域二氧化碳排放的空间关联结构特征进行实证考察,研究认为:在样本期内,中国碳排放空间关联网络的紧密程度呈递增趋势,网络结构的不平等程度在降低,网络复杂性和稳定性逐渐增强。上海、江苏、天津、北京、浙江、广东等省份位于网络的中心位置,在网络中发挥核心中介作用,中西部的部分省份在网络中的作用逐渐增强。在碳排放空间关联网络中,长三角、环渤海和珠三角地区属于"受益者"板块,其他地区属于"贡献者"板块。碳排放的空间关联网络结构为省际间实现"引领-跟随"型的协同碳减排奠定了基础。     

基于业绩指数和潜力指数的西部地区民间投资绩效研究

通过修正联合国贸发会议(UNCTAD)《2002年世界投资报告》中的业绩和潜力指标,结合中国民间投资发展的现实,运用业绩和潜力指数对西部12省区民间投资的绩效进行了定量研究,结果显示:西部开发以来,12省份民间投资的业绩指数上升较为明显,但潜力指数提升幅度不大;省间民间投资绩效发展不平衡,且差距有升有降;民间投资业绩与潜力指数排序一致的比例较高,但同时存在相背离的现象.西部各省应当充分发挥比较优势和区位优势,明确投资目标,提高民间投资效率.     

Reference regions for beat‐to‐beat ECG data

The QT interval is regarded as an important biomarker for the assessment of arrhythmia liability, and evidence of QT prolongation has led to the withdrawal and relabeling of numerous compounds. Traditional methods of assessing QT prolongation correct the QT interval for the length of the RR interval (which varies inversely with heart‐rate) in a variety of ways. These methods often disagree with each other and do not take into account changes in autonomic state. Correcting the QT interval for RR reduces a bivariate observation (RR, QT) to a univariate observation (QTc). The development of automatic electrocardiogram (ECG) signal acquisition systems has made it possible to collect continuous (so called ‘beat‐to‐beat’) ECG data. ECG data collected prior to administration of a compound allow us to define a region for (RR, QT) values that encompasses typical activity. Such reference regions are used in clinical applications to define the ‘normal’ region of clinical or laboratory measurements. This paper motivates the need for reference regions of (RR, QT) values from beat‐to‐beat ECG data, and describes a way of constructing these. We introduce a measure of agreement between two reference regions that points to the reliability of 12‐lead digital Holter data. We discuss the use of reference regions in establishing baselines for ECG parameters to assist in the evaluation of cardiac risk and illustrate using data from two methodological studies. Copyright © 2010 John Wiley & Sons, Ltd.     

西部地区农产品物流效率及省际差异动态研究——基于DEA-Malmquist指数法

以2005—2014年西部地区省际面板数据为样本,基于DEA-Malmquist指数法对其农产品物流效率变化、省际差异性变化及原因进行探讨,并分析产业结构升级对新常态下农产品物流效率的影响。研究发现:西部地区农产品物流效率逐年升高但增速放缓,技术进步是效率提高的主要动力,技术效率和规模效率则起到阻碍作用;各省市差异逐年缩小,技术应用水平是其存在差异的主要原因;产业结构对效率的影响在不同阶段表现作用不同。据此,为改善西部地区农产品物流效率提供了针对性建议。     

Joint confidence region estimation on predictive values

For evaluating diagnostic accuracy of inherently continuous diagnostic tests/biomarkers, sensitivity and specificity are well-known measures both of which depend on a diagnostic cut-off, which is usually estimated. Sensitivity (specificity) is the conditional probability of testing positive (negative) given the true disease status. However, a more relevant question is “what is the probability of having (not having) a disease if a test is positive (negative)?”. Such post-test probabilities are denoted as positive predictive value (PPV) and negative predictive value (NPV). The PPV and NPV at the same estimated cut-off are correlated, hence it is desirable to make the joint inference on PPV and NPV to account for such correlation. Existing inference methods for PPV and NPV focus on the individual confidence intervals and they were developed under binomial distribution assuming binary instead of continuous test results. Several approaches are proposed to estimate the joint confidence region as well as the individual confidence intervals of PPV and NPV. Simulation results indicate the proposed approaches perform well with satisfactory coverage probabilities for normal and non-normal data and, additionally, outperform existing methods with improved coverage as well as narrower confidence intervals for PPV and NPV. The Alzheimer's Disease Neuroimaging Initiative (ADNI) data set is used to illustrate the proposed approaches and compare them with the existing methods.     

邮轮旅游网络关注度的时空特征和影响因素——基于百度指数的研究

百度指数作为一个数据获取的重要工具和途径,对分析和研究相关问题具有重要作用。基于百度指数系统收集了中国各地区邮轮旅游网络关注度的数据,进行了时空特征和影响因素的研究。研究发现:邮轮旅游网络关注度具有时间差异较大,变化显著等特征;邮轮旅游网络关注度根据空间特征可以划分为四种类型:关注强势区、关注发展区、关注平稳区、关注弱势区;各区域邮轮旅游网络关注度指数主要受到人均GDP和网民数量的影响。     

Elliptical safety region plots for C pk

The process capability index C _pk is widely used when measuring the capability of a manufacturing process. A process is defined to be capable if the capability index exceeds a stated threshold value, e.g. C _pk >4/3. This inequality can be expressed graphically using a process capability plot, which is a plot in the plane defined by the process mean and the process standard deviation, showing the region for a capable process. In the process capability plot, a safety region can be plotted to obtain a simple graphical decision rule to assess process capability at a given significance level. We consider safety regions to be used for the index C _pk . Under the assumption of normality, we derive elliptical safety regions so that, using a random sample, conclusions about the process capability can be drawn at a given significance level. This simple graphical tool is helpful when trying to understand whether it is the variability, the deviation from target, or both that need to be reduced to improve the capability. Furthermore, using safety regions, several characteristics with different specification limits and different sample sizes can be monitored in the same plot. The proposed graphical decision rule is also investigated with respect to power.     

基于偏好变量的指数跟踪方法

考虑到在进行指数跟踪时影响强度大并且流动性好的成份股往往是被偏好的,结合股票市场的网络结构和指数的编制规则,提出基于偏好变量的指数跟踪方法;对沪深300指数进行实证分析,从跟踪偏离度、平均超额收益和年跟踪误差三方面对新方法进行评估,并与非负LASSO模型进行对比分析。实证结果显示,新方法不仅优于非负LASSO模型,而且优于市场上大多数指数基金。     

中年女性血红蛋白参考值与地理因素的非线性模型

文章收集了中国268个单位用氰化高铁血红蛋白(HiCN)法测定的25917例中年女性血红蛋白参考值,运用非线性回归分析的方法,研究了其与地理因素的关系,发现中年女性血红蛋白参考值与地理因素之间有很显著的相关关系,得到一个多元非线性回归方程。因此知道了某地的地理因素,就可以用非线性回归方程估算这个地区的血红蛋白参考值。依据血红蛋白参考值与地理因素的依赖关系可以把中国分为青藏区、西南区、西北区、东南区、华北区、东北区六个区,为制定中年女性血红蛋白参考值的统一标准提供科学了依据。     

中国老年前期女性红细胞比积正常参考值与地理因素的关系

为制定中国老年前期女性红细胞比积正常参考值的统一标准提供科学依据,收集了中国229个地区用温氏法测定的17562例健康老年前期女性红细胞比积正常参考值,并对其与地理因素的关系进行了研究,结果发现海拔高度是影响老年前期女性红细胞比积正常参考值最主要的因素,随着海拔高度的逐渐增大,老年前期女性红细胞比积正常参考值也在逐渐的增大,相关性很显著。为此用因子分析的方法推导出了一个回归方程,如果知道了中国某地的地理因素,就可以用回归方程估算这个地区的老年前期女性红细胞比积正常参考值。依据老年前期女性红细胞比积正常参考值与地理因素的依赖关系把中国分为青藏区、西南区、西北区、东南区、华北区、东北区。     

Joint hypothesis testing of the area under the receiver operating characteristic curve and the Youden index

In the receiver operating characteristic (ROC) analysis, the area under the ROC curve (AUC ) serves as an overall measure of diagnostic accuracy. Another popular ROC index is the Youden index (J ), which corresponds to the maximum sum of sensitivity and specificity minus one. Since the AUC and J describe different aspects of diagnostic performance, we propose to test if a biomarker beats the pre-specified targeting values of AUC₀ and J₀ simultaneously with H₀ : AUC ≤ AUC₀ or J ≤ J₀ against H_a : AUC > AUC₀ and J > J₀ . This is a multivariate order restrictive hypothesis with a non-convex space in H_a , and traditional likelihood ratio-based tests cannot apply. The intersection–union test (IUT) and the joint test are proposed for such test. While the IUT test independently tests for the AUC and the Youden index, the joint test is constructed based on the joint confidence region. Findings from the simulation suggest both tests yield similar power estimates. We also illustrated the tests using a real data example and the results of both tests are consistent. In conclusion, testing jointly on AUC and J gives more reliable results than using a single index, and the IUT is easy to apply and have similar power as the joint test.     

Weighting Elementary Prices in Consumer Price Index Construction Using Spatial Autocorrelation

The Consumer Price Indexes (CPI) are used in current economic systems to measure inflation. When constructing CPIs, however, official institutions have systematically overlooked the spatial dimension of elementary prices. Ignoring the fact that prices are collected at geographical locations implicitly implies considering prices as spatially independent, when in fact they are not. To solve this problem, this article proposes to weight basic price data by taking into account the spatial correlation they display. The weighted geometric and arithmetic means suggested generalize and improve the simple geometric and arithmetic means currently in use.     

A slack analysis framework for improving composite indicators with applications to human development and sustainable energy indices

Data envelopment analysis models are used for measuring composite indicators in various areas. Although there are many models for measuring composite indicators in the literature, surprisingly, there is no methodology that clearly shows how composite indicators improvement could be performed. This article proposes a slack analysis framework for improving the composite indicator of inefficient entities. For doing so, two dual problems originated from two data envelopment analysis models in the literature are proposed, which can guide decision makers on how to adjust the subindicators of inefficient entities to improve their composite indicators through identifying which subindicators must be improved and how much they should be augmented. The proposed methodology for improving composite indicators is inspired from data envelopment analysis and slack analysis approaches. Applicability of the proposed methodology is investigated for improving two well-known composite indicators, i.e., Sustainable Energy Index and Human Development Index. The results show that 12 out of 18 economies are inefficient in the context of sustainable energy index, for which the proposed slack analysis models provide the suggested adjustments in terms of their respected subindicators. Furthermore, the proposed methodology suggests how to adjust the life expectancy, the education, and the gross domestic product (GDP) as the three socioeconomic indicators to improve the human development index of 24 countries which are identified as inefficient entities among 27 countries.