Evolution of the Socio-cognitive Structure of Knowledge Management(1986–2015): An Author Co-citation Analysis

Purpose: The evolution of the socio-cognitive structure of the field of knowledge management(KM) during the period 1986–2015 is described. Design/methodology/approach: Records retrieved from Web of Science were submitted to author co-citation analysis(ACA) following a longitudinal perspective as of the following time slices: 1986–1996, 1997–2006, and 2007–2015. The top 10% of most cited first authors by sub-periods were mapped in bibliometric networks in order to interpret the communities formed and their relationships.Findings: KM is a homogeneous field as indicated by networks results. Nine classical authors are identified since they are highly co-cited in each sub-period, highlighting Ikujiro Nonaka as the most influential authors in the field. The most significant communities in KM are devoted to strategic management, KM foundations, organisational learning and behaviour, and organisational theories. Major trends in the evolution of the intellectual structure of KM evidence a technological influence in 1986–1996, a strategic influence in 1997–2006, and finally a sociological influence in 2007–2015.Research limitations: Describing a field from a single database can offer biases in terms of output coverage. Likewise, the conference proceedings and books were not used and the analysis was only based on first authors. However, the results obtained can be very useful to understand the evolution of KM research.Practical implications: These results might be useful for managers and academicians to understand the evolution of KM field and to(re)define research activities and organisational projects.Originality/value: The novelty of this paper lies in considering ACA as a bibliometric technique to study KM research. In addition, our investigation has a wider time coverage than earlier articles.

Study Progress Analysis of Effluent Quality Prediction in Activated Sludge Process Based on CiteSpace

In this paper, CiteSpace, a bibliometrics software, was adopted to collect research papers published on the Web of Science, which are relevant to biological model and effluent quality prediction in activated sludge process in the wastewater treatment. By the way of trend map, keyword knowledge map, and co-cited knowledge map, specific visualization analysis and identification of the authors, institutions and regions were concluded. Furthermore, the topics and hotspots of water quality prediction in activated sludge process through the literature-co-citation-based cluster analysis and literature citation burst analysis were also determined, which not only reflected the historical evolution progress to a certain extent, but also provided the direction and insight of the knowledge structure of water quality prediction and activated sludge process for future research.

Determining future high speed rail review topics through bibliometric analysis

As High Speed Rail(HSR)has proliferated globally,so has a related research field dedicated to exploring and addressing its unique issues.Yet,studies to understand and classify the HSR research domain are limited.This paper addresses the gap,using bibliometric analysis to identify future research areas and 20 candidate topics for literature review based on keyword analysis through VOSviewer.Article and review papers related to HSR published in the last 20 years(2003-2022)were retrieved from Scopus,and then analyzed to determine the split in knowledge between languages,the collaboration between countries and institutions,highly productive and cited journals,and research topics which have and have not been reviewed.Approximately 30%of the search results were published exclusively in Chinese,highlighting the importance of extending the evaluation to cover both languages.This is a novel aspect of the work,which has enabled the recognition of potential knowledge gaps.It is recommended that future reviews incorporate works in both languages,possibly through international collaboration.Institutions in China and other countries that are strong collaborators have been identified,as well as relevant,highly cited journals.

A Corpus-based Analysis of Keywords in Chinese Government Work Reports and State of the Union from the Perspective of Political Linguistics

This study compared and analyzed the features of keywords and their collocations in corpora:Chinese Government Work Reports and State of the Union(USA).A further comparison and analysis of the collocations of“develop”and“improve”was then conducted from the perspective of political linguistics.Results suggested that China and the United States have their own emphasis of government work.It was also indicated that“we”and“will”are both high-frequency keywords and combinations of“develop”and“improve”,which shows that both countries give the highest priority to narrowing the distance between the government and the public.

Keyword Co-occurrence Analysis of Research on Innovation Ecosystem Studies

The aim of the paper is to identify and explore leading thematic areas within the research field related to innovation ecosystem.Based on data from the Web of Science database,the keywords frequency and its co-occurrence frequency pair were analyzed,and the theory of mapping knowledge domains was used to visualize the keywords co-occurrence network in innovation ecosystem to make further research of the heated issues.The findings indicate that the research scope involved in innovation ecosystem research is broad,and research content focus on micro and macro levels.According to the results of keywords co-occurrence analysis of different stages,innovation,network,knowledge,strategy,open innovation,value creation are the most important issues to innovation ecosystem research,given their position and role in the research network.The paper generates the added value mainly from the point of view of theory development.

The Research on E-mail Users' Behavior of Participating in Subjects Based on Social Network Analysis

The e-mail network is a type of social network. This study analyzes user behavior in e-mail subject participation in organizations by using social network analysis. First, the Enron dataset and the position-related information of an employee are introduced, and methods for deletion of false data are presented. Next, the three-layer model(User, Subject, Keyword) is proposed for analysis of user behavior. Then, the proposed keyword selection algorithm based on a greedy approach, and the influence and propagation of an e-mail subject are defined. Finally, the e-mail user behavior is analyzed for the Enron organization. This study has considerable significance in subject recommendation and character recognition.

A study on clinical nursing research trends and hotspots based on bibliometric analysis

Objective: This study was conducted to understand the trends and research hotspots of clinical nursing in China and abroad, thereby to provide guidance for nursing practice and studies.Methods: We retrieved clinical nursing literature(excluding literature related to psychological nursing and traditional Chinese medicine nursing) cited in Wanfang Data(www.wanfangdata.com.cn) and PubMed between 2007 and 2015 and subsequently performed bibliometric analyses on article volume,journal, clustering of high-frequency keywords, and co-occurrence of keywords.Results: A total of 10374 publications, excluding those related to psychological nursing, were retrieved via a PubMed search. The literature displayed a rising trend in terms of annual publication volume. The journal distribution of clinical nursing publications overall was consistent with Bradford's Law. The main contents of clinical nursing literature between 2007 and 2009 included:(1) studies on effects of the midwife and midwifery methods for natural childbirth;(2) studies on emergency nursing care;(3)studies on dementia care;(4) studies on bandage dressing in trauma nursing; and(5) studies on quality of life in cancer patients nursing. The main contents of clinical nursing literature between 2010 and 2012 included:(1) studies on obstetric nurse-patient relationships;(2) studies on patients' medical team in stroke nursing;(3) studies on cancer nursing methods;(4) studies on nursing patients with trauma related to urinary incontinence; and(5) studies on the quality of life of caregivers of dementia patients.The main contents of clinical nursing literature between 2013 and 2015 included(1) studies on skin care and bandaging in trauma nursing;(2) studies on evidence-based nursing in AIDS care;(3) studies on nurses' role in obstetric nurse-patient relationships; studies on cancer nursing methods;(4) studies on nursing for Alzheimer's disease and dementia; and(5) studies on caregivers and nursing of stroke patients. A Wanfang Data search retrieved a total of 85570 publications, whose volume also exhibited an annual rising trend, in particular with regard to those in core journals. However, percentage of total publication volume, mean cited frequency per article, and total ranking of clinical nursing publications overall displayed a decreasing trend. The main contents of clinical nursing literature between 2007 and 2009 included:(1) diabetes nursing;(2) nursing for cancer;(3) nursing for senility-related diseases;(4)nursing in the event of complications;(5) nursing for hypertension;(6) studies on quality of life after nursing interventions;(7) chemotherapy nursing;(8) studies on compliance after nursing interventions;(9) constipation nursing; and(10) nursing for stroke patients. The main contents of clinical nursing literature between 2010 and 2012 included:(1) diabetes nursing;(2) nursing for cancer;(3) nursing for senility-related diseases;(4) studies on quality of life after nursing interventions;(5) nursing in the event of complications;(6) nursing for hypertension;(7) prevention nursing;(8) perioperative nursing;(9)pain nursing; and(10) studies on compliance after nursing interventions. The main contents of clinical nursing literature between 2013 and 2015 included:(1) diabetes nursing;(2) nursing in the event of complications;(3) cancer nursing;(4) studies on quality of life after nursing interventions;(5) nursing for stroke patients;(6) nursing for the elderly;(7) studies on compliance after nursing interventions;(8)nursing for hypertension;(9) constipation nursing; and(10) prevention nursing.Conclusions: Clinical nursing research in China is in a rapid development stage as defined by Price's law whereby there is a rapid growth in publication volume. By comparison, clinical nursing research in developed countries is in the stable development stage or maturation phase, which is characterized by a flat curve of publication volume and stable development rate. There is a gap of 25-30 years between China and these countries in terms of the growth phases of clinical nursing literature.

Evaluation of trend in semen analysis for 11 years in subjects attending a fertility clinic in India

Aim: The data on semen analysis of subjects attending the Fertility Clinic at NIHFW (National Institute of Health and Family Welfare) Munirka, New Delhi for the last 11 years were analyzed to verify the claims and speculations on declining sperm counts in men. Methods: Approximately 10 % of the records every year starting from 1990 to 2000 (numbering 1176 in total) were randomly selected for analysis. Subjects with azoospermia or severe oligozoospermia were excluded from analysis. Results: The average age of the men attending the infertility clinic was 31.2 years. The average semen volume and sperm count were found to be (2.6 ±0.1) mL and (60.6 ± 0.9) × 106/mL, respectively. No significant decline in sperm counts was observed in any year during the entire study period. Only 1.8 % of the total number of sperm counts in the random sampling were less then 20 × 106/mL. On the basis of WHO criteria on motility, the total percentage of non-progressive and non-motile sperm in the ejaculate was higher (63 %) as compared to the combined categories of slow and rapid linear progressive. Conclusion: The present study has confirmed similar findings from other different countries that declining sperm counts in humans is not a global phenomenon.

VECTOR ANALYSIS THEORY ON LANDSCAPE PATTERN (VATLP) IN SANJIANG PLAIN MARSH, CHINA

Landscape indices are popular for the quantification of landscape pattern. But all landscape indices being used so far are scalar quantity, which measure patterns without considering sufficiently the pattern size and the directionality together. Based on planar characteristics defined in mechanics such as centroid, moment of inertia, product of inertia, principal axes and so on, vector analysis theory on landscape pattern (VATLP) is explored here. Firstly we establish a coordinate system of centroidal principal axes (CSCPA) of a patch or patches. Some related new indices including those describing the direction of pattern distribution (patch orientation (PO), vectorial patch orientation (VPO)), and those indicating the shape of patch' s equivalent ellipse ( major axis (MJA), minor axis (MIA) and eccentric rate (ER)) are deduced. These landscape metrics are then applied to the pattern analysis of Sanjiang plain marsh, the study area. Two temporal vector-based data sets of the study area come from interpretation of remote sensing images MSS (1980) and TM (2000). The application of the theory captures some shape properties of riparian wetland in Sanjiang plain marsh. The dissymmetrieal featires of Sanjiang plain marsh around principal axes due to agricultural development could also be explained.

A worldwide bibliometric analysis of Antarctic krill research during 1960 to 2015

This study conducted a bibliometric analysis of 1251 articles related to Antarctic krill from 1960 to 2015, based on the Core Collection in Thomson Reuters＇ Web of Science. We analyzed the results from four aspects： annual distribution, Web of Science categories and the major journals, inter- national collaboration and author keywords. The Antarctic krill research has developed rapidly since 1978, with an increasing article output. The studies mostly focused on the fields of marine and freshwater biology, oceanography, and ecology. Polar Biology, Marine Ecology-Progress Series and Deep-Sea Research Part II-Topical Studies in Oceanography, were the top three journals to publish the Antarctic krill-related papers. Although Russia is the earliest state to report Antarctic krill, U.S.A. and England were leaders with the largest output quantity and the highest cooperation frequencies. The researches in PR China have taken a blooming since 2009 and will play a more and more important role in the world. The frequencies of author keywords were counted. The high-frequency keywords were further divided into four groups with cohesive subgroup analysis, which suggested the major themes. This paper depicts the existing publica- tions on Antarctic krill. Our goal is to serve a point of reference and provide the direction for the future work.

Visualizing the Intellectual Structure in Innovation System Studies: A Journal Cocitation Analysis

A journal co-citation analysis of top cited journals in the innovation ecosystem discipline was conducted over three periods spanning the years of 2002 to 2019.Relevant data retrieved from the Web of Science database were analyzed according to the highly cited journals.The results of current study show that innovation ecosystem is muti-disciplinary with broad relations with other fields.Management,marketing,technology and innovation,information management,economy,entrepreneurship and sociology play an important role in innovation ecosystem field,given their position and role in the research network.The paper generates the added value mainly from the point of view of theory development.

Visualization Analysis for China’s Business Schools Accreditation Studies Based on Knowledge Mapping

The aim of the paper is to identify and explore leading thematic areas within the research field related to Business Schools Accreditation in China.Based on data from the China National Knowledge Infrastructure(CNKI)database,the keywords frequency was analyzed,and the theory of mapping knowledge domain was used to visualize the keywords co-occurrence network to make further research of the heated issues.The findings indicate that the research scope involved in business school accreditation research is broad,and research content focus on teaching,management,talent cultivation.According to the results of keywords co-occurrence analysis of different stages,AACSB,AACSB Accreditation,international accreditation,business school,AOL,internationalization,accreditation are the most important issues to business school research in China,given their position and role in the research network.The paper generates the added value mainly from the point of view of theory development.

Visualization Analysis of Research on Student Classroom Engagement by Knowledge Mapping

The aim of the paper is to identify and explore leading development situation within the research field related to student classroom engagement.Using knowledge mapping tools,this paper conducted the visualization analysis on internationalliteraturein relation to student classroom engagementfrom the Web of Science databases.By combination of the statistical data and visualizationmapping,this paper studied on the research relationship networks and status for the co-authors'countries/institutions,co-citation documents/journalsand co-occurring keywordsbased on the sample datafromliterature.The results indicate that the number ofpublished papershasincreased obviously and expanded graduallysince 2000.Main countries and institutions of researches were the UnitedStates,Australia,United Kingdom,Canada and China in order,and these countries had intense collaboration.The theoretical basis of the research come from education and teaching,psychology.The hotspots of researches fromthe global literature coveredvarious fields including achievement,motivation,behavior,education,performance.As a result of the multidisciplinary integration,many relevant internationalresearch constantly expanded the research scopes,which promoted the combination and development of theories.

A Metric Approach to Hot Topics in Biomedicine via Keyword Co-occurrence

Purpose:To reveal the research hotpots and relationship among three research hot topics in b iomedicine,namely CRISPR,iPS(induced Pluripotent Stem)cell and Synthetic biology.Design/methodology/approach:We set up their keyword co-occurrence networks with using three indicators and information visualization for metric analysis.Findings:The results reveal the main research hotspots in the three topics are different,but the overlapping keywords in the three topics indicate that they are mutually integrated and interacted each other.Research limitations:All analyses use keywords,without any other forms.Practical implications:We try to find the information distribution and structure of these three hot topics for revealing their research status and interactions,and for promoting biomedical developments.Originality/value:We chose the core keywords in three research hot topics in biomedicine by using h-index.

Innovation systems and global value chains:A Co-citation analysis of established linkages and possible future trends

This study draws a historical picture of conceptual linkages of innovation systems(IS)and global value chains(GVC).We used a co-citation technique to map the evolution of these two fields since 1990.We highlighted the connecting nodes over the past three decades.The first decade witnessed a connection between national innovation systems(NIS)and GVC,mediated by regional studies related to industrial clusters and district-based innovation.The tradeoff between tacit sticky local and codified transferable global knowledge and innovation and learning's importance in upgrading in GVC generated two new routes in the second decade.In the last decade,although these routes are retained,their mediating nodes have changed with the literature on technology and sustainable transition from IS and the path dependency role in the evolution of districts in global production networks.Recent trends indicate that evolutionary views on economic geography and catch-up may open new opportunities to link the two,and some lessons highlight the need for more structured interactions in the future.

Exploring the intellectual structure based on co-citation network analysis: A case study of diabetes

As the number of diabetics increases worldwide,the amount of research so as to bibliometric re-search on diabetes is also growing.In order to review the existing research on diabetes from a macro perspective and to remedy the lack of attention given to conference papers,this paper collected a total of 67,104 diabetes-related conference papers on the theme of"diabetes"up to 23 October 2020 in the core collection of Web of Science.Tools for bibliometric analysis include Citespace and vosviewer and other tools such as Excel and Origin are applied for statistical analysis and visualization of the results.Consequently,publication trend,document co-citation,journal co-citation and author co-citation are analyzed based on these papers,and core docu-ments,journals and authors are identified.This study not only shows the current situation of a-cademic conferences related to diabetes research but also,to a certain extent,reveals the devel-opment of the diabetes research situation in the whole field.Meanwhile,this study quantitatively analyzed the intellectual base on diabetes,which can be an illustration of the benefits of biblio-metric analysis as a tool in scientific research.

Stability-mutation feature identification of Web search keywords based on keyword concentration change ratio

Purpose: The aim of this paper is to discuss how the keyword concentration change ratio(KCCR) is used while identifying the stability-mutation feature of Web search keywords during information analyses and predictions.Design/methodology/approach: By introducing the stability-mutation feature of keywords and its significance, the paper describes the function of the KCCR in identifying keyword stability-mutation features. By using Ginsberg's influenza keywords, the paper shows how the KCCR can be used to identify the keyword stability-mutation feature effectively.Findings: Keyword concentration ratio has close positive correlation with the change rate of research objects retrieved by users, so from the characteristic of the 'stability-mutation' of keywords, we can understand the relationship between these keywords and certain information. In general, keywords representing for mutation fit for the objects changing in short-term, while those representing for stability are suitable for long-term changing objects. Research limitations: It is difficult to acquire the frequency of keywords, so indexes or parameters which are closely related to the true search volume are chosen for this study.Practical implications: The stability-mutation feature identification of Web search keywords can be applied to predict and analyze the information of unknown public events through observing trends of keyword concentration ratio.Originality/value: The stability-mutation feature of Web search could be quantitatively described by the keyword concentration change ratio(KCCR). Through KCCR, the authors took advantage of Ginsberg's influenza epidemic data accordingly and demonstrated how accurate and effective the method proposed in this paper was while it was used in information analyses and predictions.

创伤性心脏骤停文献计量及可视化分析

目的了解国内外创伤性心脏骤停(traumatic cardiac arrest,TCA)的研究现状及研究趋势。方法检索2000年1月1日~2024年3月19日Web of Science(WOS)核心合集数据库、中国知网(CNKI)、万方数据知识服务平台发表的TCA相关文献,利用CiteSpace 6.3.R1软件进行文献计量图谱分析。结果最终纳入中文文献80篇,英文文献341篇,发文量总体呈逐年上升趋势;相关研究集中于国外发达国家,美国发文量居首位(29.91%),中国居第2位(9.38%)。相关核心研究团体已形成,中文以浙江大学医学院附属第二医院的夏森林发文最多,为3篇;英文以英国的Alqudah发文最多,为4篇;《中华急诊医学杂志》中文载文量最多,为7篇;Resuscitation英文载文量最多,为35篇。共得到6个中文、16个英文关键词聚类标签,6个突现关键词。TCA相关研究热点集中在其流行病学、病理生理学、预防和救治策略等方面。结论该领域国内外关注度逐渐上升,与国外相比,我国的TCA相关研究较少,研究主题较为局限。TCA患者结局及其相关影响因素和干预措施是目前该领域的研究热点。未来我国应继续致力于创伤复苏能力水平建设,加大该领域的科研投入和机构合作,改善患者结局。

基于中外文献关键词网络分析的知识产权信息服务研究

知识产权信息服务是加强知识产权强国建设,支撑国家参与全球化竞争的重要途径。利用文献可视化工具,通过高频关键词共现、聚类、突现分析,对2013-2022年知识产权信息服务领域发表的中外文相关文献进行对比,探索近10年该领域研究现状、热点和发展趋势的差异。研究发现,专利分析仍然是知识产权信息服务的核心内容;国内图书馆尤其是高校图书馆成为知识产权信息服务网点之一;中外文文献都十分关注知识产权信息服务平台建设、公共服务体系建设。相比之下,中文文献重点针对用户需求提升服务能力、服务效果等,对知识产权信息服务的商业模式探索较少,对版权、商标关注不够。从近10年的研究主题演进阶段中可以看出,中文文献中知识产权信息服务领域研究起步于科技查新,在平台建设中不断完善,初步构建服务体系。而外文文献则关注新技术在知识产权信息服务中的应用,重视专利分析、版权以及信息安全等相关问题。

基于文献计量学的城市内涝风险评估研究进展与趋势展望

对“内涝”和“风险评估”进行关键词检索,以1991—2023年中国知网(CNKI)中文数据库、Web of Science(WOS)核心数据库共2783篇城市内涝风险评估相关文献为基础,采用词频分析、共被引分析、聚类分析等文献计量方法,借助R语言的Bibliometrix包实现数据统计与图谱绘制。结果表明,以内涝风险评估为主题的国内外相关研究近10年呈快速增长趋势,虽然中文文献出现晚于英文文献,但英文文献中,国内研究机构发文量最多;对应国内城市暴雨洪涝灾害发生数量排全球首位,体现出国内城市暴雨内涝灾害影响严重,并已逐渐成为众多学者关注的研究热点;地理信息系统(GIS)是内涝风险评估研究中常用的技术手段,机器学习和遥感技术广泛应用于国际研究,值得国内相关研究学习和借鉴;英文研究热点集中在灾损曲线、脆弱性指标体系和多准则的内涝综合风险分析,而中文研究目前聚焦在基于水文和水力学模型的内涝灾害危险性识别,未来在逐步完善的海绵城市和内涝防治工程建设研究基础上,面向气候变化和韧性城市规划建设的内涝综合风险评估可能会成为新的研究热点。