Visualizing the research on pervasive and ubiquitous computing

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.     

Patent co-citation networks of Fortune 500 companies

This paper provides an overview of the progression of technology structure based on patent co-citation networks. Methods of patent bibliometrics, social network analysis and information visualization are employed to analyze patents of Fortune 500 companies indexed in Derwent Innovations Index, the largest patent database in the world. Based on the co-citation networks, several main technology groups are identified, including Chemicals, Petroleum Refining, Motor Vehicles, Pharmaceuticals, Electronics, etc. Relationships among the leading companies and technology groups are also revealed.     

Hybrid documents co-citation analysis: making sense of the interaction between science and technology in technology diffusion

The paper presents a methodology called hybrid documents co-citation analysis, for studying the interaction between science and technology in technology diffusion. Our approach rests mostly on patent citation, cluster analysis and network analysis. More specifically, with the patents citing Smalley RE in Derwent innovations index as the data sets, the paper implemented hybrid documents co-citation network through two procedures. Then spectrum cluster algorithm was used to reveal the knowledge structure in technology diffusion. After that, with the concordance between network properties and technology diffusion mechanisms, three indicators containing degree, betweenness and citation half-life, were calculated to discuss the basic documents in the pivotal position during the technology diffusion. At last, the paper summarized the hybrid documents co-citation analysis in practise, thus concluded that science and technology undertook different functions and acted dominatingly in the different period of technology diffusion, though they were co-activity all the time.     

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

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.     

The interdisciplinary structure of research on intercultural relations: a co-citation network analysis study

This study aims to map the content and structure of the knowledge base of research on intercultural relations as revealed in co-citation networks of 30 years of scholarly publications. Source records for extracting co-citation information are retrieved from Web of Science (1980–2010) through comprehensive keyword search and filtered by manual semantic coding. Exploratory network and content analysis is conducted (1) to discover the development of major research themes and the relations between them over time; (2) to locate representative core publications (the stars) that are highly co-cited with others and those (the bridges) connecting more between rather than within subfields or disciplines. Structural analysis of the co-citation networks identifies a core cluster that contains foundational knowledge of this domain. It is well connected to almost all the other clusters and covers a wide range of subject categories. The evolutionary path of research themes shows trends moving towards (e.g. psychology and business and economics) and away from (e.g. language education and communication) the core cluster over time. Based on the results, a structural framework of the knowledge domain of intercultural relations research is proposed to represent thematic relatedness between topical groups and their relations.     

无参考图像质量评价研究现状与前景分析

目的 为了进一步掌握无参考图像质量评价的发展过程与研究热点,为后续的相关研究提供参考。方法 使用citespace文献可视化软件对2000—2021年在Web of Science检索到的1 712条文献数据进行基本分析、共被引分析和     

纳米结构钢制造工艺与产业化现状研究

纳米结构钢或结构钢的纳米化是近年来钢铁材料研究领域的一个热点。通过文献调研和综述的方法对纳米结构钢的优良性能、主要制造工艺技术、主要的制造企业及产业化现状以及重要专利技术进行了分析,以期对我国纳米结构钢的发展提供有益的启示。纳米结构钢因其优良的高强度、耐腐蚀、耐磨损等性能,已有多家钢铁巨头和研究机构开始进军纳米结构钢并...     

Knowledge-transfer analysis based on co-citation clustering

Based on co-citation cluster analysis, we propose a knowledge-transfer analysis model for any technology field. In this model, patent data with backward citations to non-patent literature and forward citations by later patents would be analyzed. Co-citation clustering of the cited articles defines scientific knowledge sources, while that of the patents themselves defines technology fronts. According to the citation between the article and patent clusters, the landscape of knowledge-transfer including route and strength between scientific knowledge sources and technology fronts can be mapped out. The model has been applied to the field of transgenic rice. As a result of the analysis, ten scientific knowledge sources and eight technology fronts have emerged, and reasonable links between them have been established, which clearly show how knowledge has been transferred in this field.     

A longitudinal study of intellectual cohesion in digital humanities using bibliometric analyses

As digital humanities continues to expand and become more inclusive, little is known about the extent to which its knowledge is integrated. A bibliometric analysis of published literature in digital humanities was conducted to examine the degree of its intellectual cohesion over time (1989–2014). Co-authorship, article co-citation, and bibliographic coupling networks were generated so SNA based cohesion analysis can be applied. Modularity maximization partition was also performed to both co-citation and “author bibliographic coupling” networks to identify main research interests manifested in the literature. The results show that, as publications in digital humanities continue to grow, its diversity and coherence, two hallmarks of interdisciplinarity, have shown signs of becoming more robust. The co-author network, however, remained rather fragmented, with collaboration mainly limited by language and geographic boundaries. The domain specific practices in digital humanities that might contribute to such fragmentation was discussed.     

基于知识图谱的柔性版印刷技术应用专利数据挖掘

目的 为了对柔性版印刷关键技术的演进路径及研发热点进行知识挖掘。方法 以德温特专利数据库(DII)收录的柔性版印刷技术相关专利为数据源,借助信息可视化软件CiteSpace对所采集的专利数据进行计量和可视化分析。结果 利用CiteSpace软件提供的词频探测技术绘制了柔性版印刷技术的研发热点和前沿知识图谱,识别了柔印领域的技术热点。通过聚类可以发现专利文献聚焦范围主要集中在印刷版材制作、印刷油墨、印刷设备和柔性印刷电子等领域。研究焦点从最初的柔性版印刷的油墨和喷墨印刷研究领域,逐渐出现了对印版制版的研究,后续又围绕着印刷设备的各个部分产生了新的研发热点,如控制系统、触屏、飞达和装帧部分。结论 基于专利知识图谱分析可以应用到柔性版印刷技术的知识管理过程中,能为柔印行业探测学科前沿、开展知识服务提供决策依据和技术支撑。     

Collaborative network of firms: antecedents and state-of-the-art properties

The concept of collaborative networks has attracted considerable attention, especially in two knowledge domains: innovation and operation management. Although collaborative networks have evolved into many forms, their central role in triggering debates has not gone unnoticed. In this paper, we aim to contribute to these debates through a bibliometric review of a decade of research on collaborative networks (2002–2015). By using a combination of document co-citation and bibliographic coupling analyses, we unveil the origins and evolution of collaborative networks over time by analysing the references from the most important academic contributions. Our goal is threefold: first, to systematise the state of the art in the Input-Process-Output (IPO) framework; second, to elucidate the antecedents of the research field on collaborative networks (research streams originating from the field, main authors and journals) by organising them in six thematic clusters; and third, to show how the antecedents shaped the IPO framework. While ‘collaborative networks’ used to belong to two distinct domains, the research agendas seem to converge because of the interactions between their most active authors. As such, cross-fertilisation occurs with the International Journal of Production Research, which plays a central role in this process.     

基于知识图谱的智能包装研究现状与发展趋势分析

目的 运用知识图谱可视化呈现智能包装目前研究现状,并探究其未来发展趋势,为行业相关从业者提供参考.方法 以CNKI数据库"智能包装"中文核心期刊文献为研究样本,利用CiteSpace知识图谱可视化分析软件,对研究样本数据从作者、机构、关键词、时间等维度进行整体分析,再结合传统文献分析方法,进行重要文献内容的深入分析.结果 总结得到智能包装3个发展阶段(缓慢起步期、快速发展期和回落稳定期),目前4个重要发展领域(智能包装、包装技术、传感器和包装设计),以及信息系统集成化的发展趋势.结论 智能包装的发展将与虚拟现实技术、物联网、系统集成等进行融合,在可预见的未来仍具有可观的发展前景,为包装行业差异化竞争、可持续发展和转型升级提供参考和启示.     

Mapping the Intellectual Structure of Research on ‘Born Global’ Firms and INVs: A Citation/Co-citation Analysis

The present research paper shows the results of an analysis of the existing literature on one of the topics that has sparked the most interest among scholars and researchers in the fields of international management and entrepreneurship: born global firms or international new ventures. Concretely, with the aim of identifying and visualising the intellectual structure of research on this phenomenon, a total of 124 research papers whose titles contain the above terms are analysed. The methodology is mainly based on the bibliometric techniques of document citation and co-citation analyses and the analysis of social networks.     

A Systemic Approach to Exploring an Essential Patent Linking Standard and Patent Maps: Application of Generative Topographic Mapping (GTM)

Abstract:

As the intense competition for the international standardization of technology has increased, many companies are concentrating their capabilities on securing essential patents that claim one or more inventions required to practice a given industry standard; however, despite the importance of developing essential patents, the approaches to exploring promising essential patent: have some limitations in terms of methodology and data. As a remedy, this article proposes a method that derives an essential patent through Generative Topographic Mapping (GTM)-based standard and patent maps. The suggested approach involves a systematic process that identifies vacuums on a standard map in a specific technology field and enables analysts to find candidate for promising essential patents instead of relying on the experts. By applying the proposed methodology, this research discovered the vacuums in an industrial standard document about fuel cell technology as well as the candidates of essential patents in this technology field.     

Bibliometric trend analysis on global graphene research

Graphene is a rising star as one of the promising materials with many applications. Its global literature increased fast in recent years. In this work, bibliometric analysis and knowledge visualization technology were applied to evaluate global scientific production and developing trend of graphene research. The data were collected from 1991 to 2010 from the Science Citation Index database, Conference Proceeding Citation Index database and Derwent Innovation Index database integrated by Thomson Reuters. The published papers from different subjects, journals, authors, countries and keywords distributed in several aspects of research topics proved that graphene research increased rapidly over past 20 years and boosted in recent 5 years. The distinctions in knowledge map show that the clusters distributed regularly in keywords of applied patents in recent 5 years due to the potential applications of graphene research gradually found. The analytical results provided several key findings of bibliometrics trend.     

Identifying and tracking scientific and technological knowledge memes from citation networks of publications and patents

Knowledge memes are the cultural equivalent of genes that play an important role in the evolution of knowledge. In this paper, we are trying to identify and tracking scientific and technological knowledge memes, and infer the relationship between science and technology at micro-level. A new carbon nanomaterial—graphene is taken as an example, and publications and patents are used as data sources for the representation of science and technology. Citation networks of publications and patents are constructed, on which a knowledge meme discovery algorithm is used, in order to identify memes that play a key role in the evolution of scientific and technological knowledge. Then the diffusion and co-occurrence of knowledge memes are shown, and a word embedding model is used to track the semantic change of the memes. The research could provide guidance for promoting knowledge innovation and making research policy.     

The dynamic effect of knowledge capitals in the public research institute: insights from patenting analysis of ITRI (Taiwan) and ETRI (Korea)

This study aims what knowledge capital accumulated by the public research institutes (PRIs) of South Korea and Taiwan to facilitate process configurations of new industrial structure. The patenting trends of two PRIs, ETRI of South Korea and ITRI of Taiwan, are assessed to highlight the established knowledge structures for emergence of multi-agent structure since 1990s. To examine their dynamics and variations of knowledge capital, the data series are separated into two phases (catching-up phase from 1970s to 1990s, and post catching-up phase since the 2000s) in accordance to (1) number of patents, (2) number of sole owned and co-owned patents, (3) backward and forward citations, (4) science-linked patents, and (5) fields of patent. When the role of PRIs in the latecomer country is evolving from a facilitator in the catching-up phase to become a mediator in the post catching-up phase, this study demonstrated their influence and dynamic effect in reinforcing industrial strategies and national approaches to attain endogenous structural change in the national innovation system. Our results signal telecommunications is the promising technology targeted by Korea’s chaebols while Taiwan’s small-medium size enterprises are utilizing the aggregate knowledge capital accumulated and derived from semiconductor technologies to develop their niches onto a diverse range of product innovations.     

Are scientific memes inherited differently from gendered authorship?

This study sought to explore the existing academic literature on female entrepreneurship to assess how this field of research is organized in terms of publications, authors, and periodicals and/or sources. In addition, the research focused on mapping knowledge networks through citation and co-citation analysis and identifying natural clusters of the main keywords used. The study also examined the challenges (i.e., opportunities and difficulties) the literature reveals for the study of female entrepreneurship. That is, the knowledge gained from the bibliometric study (i.e., what has already been researched and the limits of these studies) was used to identify what research opportunities are present in this area. The articles gathered in the search were submitted to a bibliometric analysis using VOSviewer and TreeCloud software. The results obtained from the analysis of document citations reveal three clusters: (1) entrepreneurial profile, (2) gender identity and theoretical conceptualizations, and (3) the entrepreneurial process context. By studying the articles’ citation profile, this study’s findings contribute to a better understanding of the flow of production and research-related practices in this stimulating area of research, which is still in its infancy phase.     

Visualizing the knowledge domain of sustainable development research between 1987 and 2015: a bibliometric analysis

Sustainable development (SD) was posited almost three decades ago by the World Commission on Environment and Development (WCED) as an integrated approach for addressing concerns regarding a number of environmental and socio-economic issues. To represent the knowledge structure and evolution of SD in the post-WCED era, this paper resorted to CiteSpace to identify and visualize cited references and keyword networks, the distribution of categories and countries, and highly cited references relating to SD research. Two indicators embedded in CiteSpace were introduced to investigate intellectual turning points and pivotal points to outline the emerging trends, and furthermore, a new indicator (BC × CB) was developed and applied for keyword analysis. Our findings were as follows. First, the United States and UK occupy dominant positions in relation to SD studies in general and meanwhile China records the highest publication counts. Second, the concept of nature capital has contributed significantly to interpretations of SD and the detected promising disciplinary frontiers are materials category and social sciences. Lastly, keyword analysis shows the valuable keywords under the measure of BC × CB and furthermore citation maps and visible hot research areas are revealed as well.     

Review of operational management in intelligent agriculture based on the Internet of Things

This review aims to gain insight into the current research and application of operational management in the area of intelligent agriculture based on the Internet of Things (IoT), and consequently, identify existing shortcomings and potential issues. First, we use the Java application CiteSpace to analyze co-citation networks in the literature related to the operational management of IoT-based intelligent agriculture. From the literature analysis results, we identify three major fields: (1) the development of agricultural IoT (Agri-IoT) technology, (2) the precision management of agricultural production, and (3) the traceability management of agricultural products. Second, we review research in the three fields separately in detail. Third, on the basis of the research gaps identified in the review and from the perspective of integrating and upgrading the entire agricultural industry chain, additional research directions are recommended from the following aspects: The operational management of agricultural production, product processing, and product sale and after-sale service based on Agri-IoT. The theoretical research and practical application of combining operational management theories and IoT-based intelligent agriculture will provide informed decision support for stakeholders and drive the further development of the entire agriculture industry chain.