本文利用Web of Science数据库，构建出数学、电化学、信息计量学和传播学4个领域的高频共关键词网络。用于反映领域核心知识。此类网络以关键词为节点，当两个关键词用于同一论文中时就形成节点之间的连接。核心／边缘分析和网络分析...本文利用Web of Science数据库，构建出数学、电化学、信息计量学和传播学4个领域的高频共关键词网络。用于反映领域核心知识。此类网络以关键词为节点，当两个关键词用于同一论文中时就形成节点之间的连接。核心／边缘分析和网络分析参数表明核心关键词数量增长速度低于关键词总量增速。依据核心关键词表达核心知识概念的逻辑，推论特定知识领域中稳定的核心概念及其共现网络反映了该领域相对稳定的核心知识及其结构。展开更多
一论文集的一般P-C矩阵由论文数据和引文数据两部分组成。基于一般P-C矩阵并引入“等时性”概念，我们创建了关键变量Ck。Ck表示的是不同年份发表的论文在各自发表后第k年的引文数量的平均值。借助Ck可以构建R族科学发展节律指标，定义...一论文集的一般P-C矩阵由论文数据和引文数据两部分组成。基于一般P-C矩阵并引入“等时性”概念，我们创建了关键变量Ck。Ck表示的是不同年份发表的论文在各自发表后第k年的引文数量的平均值。借助Ck可以构建R族科学发展节律指标，定义为引文观察值和引文期望值的比值，用于反映科学发展的节律。R族指标包括4项指标：①指标R——被引年视角加三角形引文窗口；②指标R’——被引年视角加平行四边形引文窗口；③指标r——引用年视角加三角形引文窗121；④指标r’——引用年视角加平行四边形引文窗口。以Journal of Documentation为例，本文具体说明了R族序列的计算和R族指标的应用。展开更多
Purpose: Big data offer a huge challenge. Their very existence leads to the contradiction that the more data we have the less accessible they become,as the particular piece of information one is searching for may be b...Purpose: Big data offer a huge challenge. Their very existence leads to the contradiction that the more data we have the less accessible they become,as the particular piece of information one is searching for may be buried among terabytes of other data. In this contribution we discuss the origin of big data and point to three challenges when big data arise: Data storage,data processing and generating insights.Design/methodology/approach: Computer-related challenges can be expressed by the CAP theorem which states that it is only possible to simultaneously provide any two of the three following properties in distributed applications: Consistency(C),availability(A) and partition tolerance(P). As an aside we mention Amdahl's law and its application for scientific collaboration. We further discuss data mining in large databases and knowledge representation for handling the results of data mining exercises. We further offer a short informetric study of the field of big data,and point to the ethical dimension of the big data phenomenon.Findings: There still are serious problems to overcome before the field of big data can deliver on its promises.Implications and limitations: This contribution offers a personal view,focusing on the information science aspects,but much more can be said about software aspects.Originality/value: We express the hope that the information scientists,including librarians,will be able to play their full role within the knowledge discovery,data mining and big data communities,leading to exciting developments,the reduction of scientific bottlenecks and really innovative applications.展开更多
Purpose: This paper tries to understand the dynamics of scientific communication systems during crises by investigating as a case study the blogging activities that took place during the period of the 2011 earthquake ...Purpose: This paper tries to understand the dynamics of scientific communication systems during crises by investigating as a case study the blogging activities that took place during the period of the 2011 earthquake and related events in Japan. Interactions between bloggers and registered users are studied quantitatively and qualitatively at Sciencenet.cn, an influential science-related blogosphere in China.Design/methodology/approach: The editors of Sciencenet.cn compiled a special issue of science blog articles under the title Analysis of the Japanese Earthquake. We developed a spider program and downloaded from this special issue the metadata about title, content,publishing time, total read count, reply count and recommendation count, and further collected information about bloggers and recommenders. We then sent a short message to the bloggers who wrote articles on these emergencies, asking for their educational and professional background.Findings: We found that knowledge reflected in the blog articles is strongly related to the educational and professional background of bloggers. Knowledge diffusion is facilitated by interactions, such as recommendations, comments and answers. Interactions via comments and recommendations are of an assortative nature: A blog article is more likelyto be commented on and recommended by those bloggers who write on the same or similar topics than by those writing on a different one. Registered users tend to give comments on articles dealing with the topic that they recommend, and vice versa.Interaction in the intersection of two or three topics is more intense than that within one topic. The impact of blog articles is also influenced by other factors, such as the reputation of the blogger and the type of information they contain.Implications and limitations: It is confirmed that studying blogs is a valid approach within informetric studies. Yet, we only studied one triple(earthquake, tsunami, nuclear disaster) event based on data originating from one Chinese blog website. More events should be studied.Originality/value: Informetric studies based on blogs are still relatively few. Using science blogs and combining comments on a triple event with the knowledge background of bloggers in China is even less common. As such this contribution enhances our knowledge on this new form of science communication activity.展开更多
With a random sample of 10 JCR(Science) subject areas it is shown that the 2-year and the 5-year impact factor of journals lead statistically to the same ranking per category. Yet in a majority of cases, the 5-year im...With a random sample of 10 JCR(Science) subject areas it is shown that the 2-year and the 5-year impact factor of journals lead statistically to the same ranking per category. Yet in a majority of cases, the 5-year impact factor is larger than the 2-year one.展开更多
Based on the foundation laid by the h-index we introduce and study the R- and AR-indices. These new indices eliminate some of the disadvantages of the h-index, especially when they are used in combina-tion with the h-...Based on the foundation laid by the h-index we introduce and study the R- and AR-indices. These new indices eliminate some of the disadvantages of the h-index, especially when they are used in combina-tion with the h-index. The R-index measures the h-core’s citation intensity, while AR goes one step further and takes the age of publications into account. This allows for an index that can actually in-crease and decrease over time. We propose the pair (h, AR) as a meaningful indicator for research evaluation. We further prove a relation characterizing the h-index in the power law model.展开更多
A short history of informetric and bibliometric studies is provided and the role of the Belgian information and library scientist Paul Otlet is highlighted.The difference between the terms informetrics,bibliometrics a...A short history of informetric and bibliometric studies is provided and the role of the Belgian information and library scientist Paul Otlet is highlighted.The difference between the terms informetrics,bibliometrics and scientometrics is explained,following Ingwersen and Bjrneborn.A short overview of topics is given and some predictions related to the future of the field are made.It is the author's opinion that besides many practical applications,the field will also develop using axiomatic and algebraic(structural)approaches.The author has no doubt that China will become a leading country in the field.展开更多
文摘本文利用Web of Science数据库，构建出数学、电化学、信息计量学和传播学4个领域的高频共关键词网络。用于反映领域核心知识。此类网络以关键词为节点，当两个关键词用于同一论文中时就形成节点之间的连接。核心／边缘分析和网络分析参数表明核心关键词数量增长速度低于关键词总量增速。依据核心关键词表达核心知识概念的逻辑，推论特定知识领域中稳定的核心概念及其共现网络反映了该领域相对稳定的核心知识及其结构。
文摘一论文集的一般P-C矩阵由论文数据和引文数据两部分组成。基于一般P-C矩阵并引入“等时性”概念，我们创建了关键变量Ck。Ck表示的是不同年份发表的论文在各自发表后第k年的引文数量的平均值。借助Ck可以构建R族科学发展节律指标，定义为引文观察值和引文期望值的比值，用于反映科学发展的节律。R族指标包括4项指标：①指标R——被引年视角加三角形引文窗口；②指标R’——被引年视角加平行四边形引文窗口；③指标r——引用年视角加三角形引文窗121；④指标r’——引用年视角加平行四边形引文窗口。以Journal of Documentation为例，本文具体说明了R族序列的计算和R族指标的应用。
文摘Purpose: Big data offer a huge challenge. Their very existence leads to the contradiction that the more data we have the less accessible they become,as the particular piece of information one is searching for may be buried among terabytes of other data. In this contribution we discuss the origin of big data and point to three challenges when big data arise: Data storage,data processing and generating insights.Design/methodology/approach: Computer-related challenges can be expressed by the CAP theorem which states that it is only possible to simultaneously provide any two of the three following properties in distributed applications: Consistency(C),availability(A) and partition tolerance(P). As an aside we mention Amdahl's law and its application for scientific collaboration. We further discuss data mining in large databases and knowledge representation for handling the results of data mining exercises. We further offer a short informetric study of the field of big data,and point to the ethical dimension of the big data phenomenon.Findings: There still are serious problems to overcome before the field of big data can deliver on its promises.Implications and limitations: This contribution offers a personal view,focusing on the information science aspects,but much more can be said about software aspects.Originality/value: We express the hope that the information scientists,including librarians,will be able to play their full role within the knowledge discovery,data mining and big data communities,leading to exciting developments,the reduction of scientific bottlenecks and really innovative applications.
基金supported by the National Natural Science Foundation of China(Grant No.:71173154)the National Social Science Foundation of China(Grant No.:08BZX076)the Social Science Foundation of Tongji University(Grant No.:3850219007)
文摘Purpose: This paper tries to understand the dynamics of scientific communication systems during crises by investigating as a case study the blogging activities that took place during the period of the 2011 earthquake and related events in Japan. Interactions between bloggers and registered users are studied quantitatively and qualitatively at Sciencenet.cn, an influential science-related blogosphere in China.Design/methodology/approach: The editors of Sciencenet.cn compiled a special issue of science blog articles under the title Analysis of the Japanese Earthquake. We developed a spider program and downloaded from this special issue the metadata about title, content,publishing time, total read count, reply count and recommendation count, and further collected information about bloggers and recommenders. We then sent a short message to the bloggers who wrote articles on these emergencies, asking for their educational and professional background.Findings: We found that knowledge reflected in the blog articles is strongly related to the educational and professional background of bloggers. Knowledge diffusion is facilitated by interactions, such as recommendations, comments and answers. Interactions via comments and recommendations are of an assortative nature: A blog article is more likelyto be commented on and recommended by those bloggers who write on the same or similar topics than by those writing on a different one. Registered users tend to give comments on articles dealing with the topic that they recommend, and vice versa.Interaction in the intersection of two or three topics is more intense than that within one topic. The impact of blog articles is also influenced by other factors, such as the reputation of the blogger and the type of information they contain.Implications and limitations: It is confirmed that studying blogs is a valid approach within informetric studies. Yet, we only studied one triple(earthquake, tsunami, nuclear disaster) event based on data originating from one Chinese blog website. More events should be studied.Originality/value: Informetric studies based on blogs are still relatively few. Using science blogs and combining comments on a triple event with the knowledge background of bloggers in China is even less common. As such this contribution enhances our knowledge on this new form of science communication activity.
基金supported by the National Natural Science Foundation of China(Grant No.70673019)
文摘With a random sample of 10 JCR(Science) subject areas it is shown that the 2-year and the 5-year impact factor of journals lead statistically to the same ranking per category. Yet in a majority of cases, the 5-year impact factor is larger than the 2-year one.
基金Supported by a Major State Basic Research Special Program China under grant (No. 2004CCC00400)National Natural Science Foundation of China (Grant No. 70376019)
文摘Based on the foundation laid by the h-index we introduce and study the R- and AR-indices. These new indices eliminate some of the disadvantages of the h-index, especially when they are used in combina-tion with the h-index. The R-index measures the h-core’s citation intensity, while AR goes one step further and takes the age of publications into account. This allows for an index that can actually in-crease and decrease over time. We propose the pair (h, AR) as a meaningful indicator for research evaluation. We further prove a relation characterizing the h-index in the power law model.
文摘A short history of informetric and bibliometric studies is provided and the role of the Belgian information and library scientist Paul Otlet is highlighted.The difference between the terms informetrics,bibliometrics and scientometrics is explained,following Ingwersen and Bjrneborn.A short overview of topics is given and some predictions related to the future of the field are made.It is the author's opinion that besides many practical applications,the field will also develop using axiomatic and algebraic(structural)approaches.The author has no doubt that China will become a leading country in the field.
