本文对国际科学计量学杂志《Ｓｃｉｅｎｔｏｍｅｔｒｉｃｓ》１９７９－１９９１年的研究论文内容、栏目、作者及国别和编委及国别作了计量分析，揭示出科学计量学研究的重点、活动的中心及发展趋势，说明了学科带头人在发展科学计量学这门新兴学科中的作用。

国际刊物《Scientometrics》文献计量研究

This paper presents a new map representing the structure of all of science, based on journal articles, including both the natural and social sciences. Similar to cartographic maps of our world, the map of science provides a bird's eye view of today's scientific landscape. It can be used to visually identify major areas of science, their size, similarity, and interconnectedness. In order to be useful, the map needs to be accurate on a local and on a global scale. While our recent work has focused on the former aspect, this paper summarizes results on how to achieve structural accuracy. Eight alternative measures of journal similarity were applied to a data set of 7,121 journals covering over 1 million documents in the combined Science Citation and Social Science Citation Indexes. For each journal similarity measure we generated two-dimensional spatial layouts using the force-directed graph layout tool, VxOrd. Next, mutual information values were calculated for each graph at different clustering levels to give a measure of structural accuracy for each map. The best co-citation and inter-citation maps according to local and structural accuracy were selected and are presented and characterized. These two maps are compared to establish robustness. The inter-citation map is more » then used to examine linkages between disciplines. Biochemistry appears as the most interdisciplinary discipline in science. « less

Mapping the backbone of science.

Agent-based computing is a diverse research domain concerned with the building of intelligent software based on the concept of "agents". In this paper, we use Scientometric analysis to analyze all sub-domains of agent-based computing. Our data consists of 1,064 journal articles indexed in the ISI web of knowledge published during a 20 year period: 1990---2010. These were retrieved using a topic search with various keywords commonly used in sub-domains of agent-based computing. In our proposed approach, we have employed a combination of two applications for analysis, namely Network Workbench and CiteSpace--wherein Network Workbench allowed for the analysis of complex network aspects of the domain, detailed visualization-based analysis of the bibliographic data was performed using CiteSpace. Our results include the identification of the largest cluster based on keywords, the timeline of publication of index terms, the core journals and key subject categories. We also identify the core authors, top countries of origin of the manuscripts along with core research institutes. Finally, our results have interestingly revealed the strong presence of agent-based computing in a number of non-computing related scientific domains including Life Sciences, Ecological Sciences and Social Sciences.

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Agent-based computing from multi-agent systems to agent-based models: a visual survey

This study aims to highlight and summarize the possible antecedents and factors that facilitate or impede knowledge management and knowledge sharing in organizations. A meta-review of 64 articles f...

https://cogentoa.tandfonline.com/doi/pdf/10.1080/23311975.2015.1127744

A systematic review of knowledge management and knowledge sharing: Trends, issues, and challenges

Characterizing the structure of knowledge, the evolution of research topics, and the emergence of topics has always been an important part of information science (IS). Our previous scientometric review of IS provided a snapshot of this fast-growing field up to the end of 2008. This new study aims to identify emerging trends and new developments appearing in the subsequent 7574 articles published in 10 IS journals between 2009 and 2016, including 20,960 references. The results of a document co-citation analysis show great changes in the research topics in the IS domain. The positions of certain core topics found in the previous study, namely, information retrieval, webometrics, and citation behavior, have been replaced by scientometric indicators (H-index), citation analysis (citation performance and bibliometrics), scientific collaboration, and information behavior in the most recent period of 2009–2016. Dual-map overlays of journals show that the knowledge base of IS research has shifted considerably since 2010, with emerging topics including scientific evaluation indicators, altmetrics, science mapping and visualization, bibliometrics, citation analysis, and scientific collaboration.

Emerging trends and new developments in information science: a document co-citation analysis (2009–2016)

The aim of this paper is to identify the research status quo on pervasive and ubiquitous computing via scientometric analysis. Information visualization and knowledge domain visualization techniques were adopted to determine how the study of pervasive and ubiquitous computing has evolved. A total of 5,914 papers published between 1995 and 2009 were retrieved from the Web of Science with a topic search of pervasive or ubiquitous computing. CiteSpace is a java application for analyzing and visualizing a wide range of networks from bibliographic data. By use of it, we generated the subject category network to identify the leading research fields, the research power network to find out the most productive countries and institutes, the journal co-citation map to identify the distribution of core journals, the author co-citation map to identify key scholars and their co-citation patterns, the document co-citation network to reveal the ground-breaking literature and detect the co-citation clusters on pervasive and ubiquitous computing, and depicted the hybrid network of keywords and noun phrases to explore research foci on pervasive and ubiquitous computing over the entire span 1995---2009.

Visualizing the research on pervasive and ubiquitous computing

Purpose – An enterprise social network (ESN) is part of the landscape of information reform by enterprises, using Web 2.0. In terms of the marketing targets of typical Web 2.0 techniques, enterprise knowledge sharing in Web 2.0 can be classified into different types (individual interaction type, group interaction type, social interaction type, real-time interaction type and delay interaction type). The purpose of this paper is to summarize the features and modes of different enterprises’ knowledge sharing and study enterprise knowledge sharing quantitatively from an ESN perspective by selecting real-time interaction type as the case. Design/methodology/approach – Because of the area of research, the authors supplemented social network analysis (SNA) with a mathematical modeling method and additional in-depth interviews. Findings – The Web 2.0 era provides the opportunity to quantify knowledge sharing. Also, SNA can quantitatively and visually diagnose the knowledge sharing status of the enterprise and guide the enterprise’s knowledge-sharing process. Research limitations/implications – Only a case study regarding real-time interaction type is presented; other types of interaction are not studied empirically. Practical implications – SNA, combined with a mathematical modeling method and additional in-depth interviews with team leaders or key managers in organizations, can diagnose quantitatively, visually and comprehensively the knowledge-sharing status of the enterprise. Originality/value – This paper systematically summarizes the features and modes of Web 2.0 enterprise knowledge sharing, and the multiple-method research design represents a sound approach to targeting enterprise knowledge sharing.

Study on enterprise knowledge sharing in ESN perspective: a Chinese case study

The research area of scientometrics began during the second half of the nineteenth century. After decades of growth, the international field of scientometrics has become increasingly mature. This study intends to understand the evolution of the collaboration network in the field of scientometrics. The growth of the discipline is divided into three stages: the first period (1987---1996), the second period (1997---2006), and the third period (2007---2015). Macro-level, meso-level, and micro-level network measures across the time periods are compared. Macro-level analyses show that the degree distribution of the collaboration in each time span are consistent with power-law, and that both the average degree and average distance steadily increase with time. From the meso-level perspective, the increase of the number of clusters in the collaboration networks suggests the emergence of more collaborative fields in scientometrics. Moreover, the growth of the size of primary clusters demonstrates the expansion of the research fields and the collaboration range. Micro-level structure analyses identify the authors/researchers with high performance in raw degree measure, degree centrality measure, and betweenness measure, all of which are dynamic across different time spans. From three dimensions (raw degree, degree centrality, and betweenness centrality), the collaboration dominators are identified for each time span.

An evolutionary analysis of collaboration networks in scientometrics

Social media platform makes more and more influence on academic communication with the development of web 2.0 + technology. Wechat (WeiXin in Chinese) is one of the social media tools based on social media platform to publicly communicate about research developments and finds for academics. The development of Wechat not only enriches the development of social media tools but also provides a new perspective and method for the evaluation of academic influence. The traditional metrics are not necessarily immediate feedback or reproducible, which are based on citation methods of evaluating and filtering articles. Wechat as one of the popular social media tools, which can provide possibility to make impact evaluation as a novel and promising approach to supplement the traditional citation metrics. Wechat not only can support the social influence for non-academic findings, but also provide academic impact of scholarships. The proposed Wechat index may be a useful and timely metric to measure uptake of research findings with public in real time. In short, Wechat is greatly supplement the offline methods of research dissemination and networking.

Academic impact evaluation of Wechat in view of social media perspective

With the emergence of Web 2.0, an online platform which encourages online creation of next generation tools, communication has become a nigh-indispensable tool for researchers. Allowing them to acquire, spread, and share research achievements, with a free flow of ideas online. At present, there are a growing number of studies on non-traditional evaluation indicators, but there is much fewer research focused on the software evaluation, especially for open source research software. What this research focuses on is; with the use of the open source project `Depsy', this research evaluated and analyzed data collected from downloads made online through these open source software. Altmetrics cannot be confined to traditional measurable indicators. That the importance of the open source software used, and its position in the online community is itself a strong measure for academic impact and success, which is all too often overlooked in research. The research can also conclude that the multiplexing of software online, through the citation of a citation, ultimately leads to an online peered review system within the community, effectively developing and maintaining through open use software itself. Moreover, the benefits of such a system has only just begun to come to fruition, having a strong impact on academic research, and predicting research impact.

Rongying Zhao

Papers

Visualizing the research on pervasive and ubiquitous computing

Study on enterprise knowledge sharing in ESN perspective: a Chinese case study

An evolutionary analysis of collaboration networks in scientometrics

Academic impact evaluation of Wechat in view of social media perspective

Impact evaluation of open source software: an Altmetrics perspective