Suggestions to the article: Overview of Graves Ophthalmopathy Literature From 1999 to 2019: Bibliometric Analysis (Preprint)

2021 ◽  
Author(s):  
Ju-Kuo Lin ◽  
Tsair-wei Chien ◽  
Willy Chou ◽  
Willy Chou
Keyword(s):  
Social Network ◽  
Network Analysis ◽  
Bibliometric Analysis ◽  
Inflection Point ◽  
Burst Strength ◽  
Future Studies ◽  
The Future ◽  
Number Of Publications ◽  
Node Size ◽  
Made In

UNSTRUCTURED The article published on 28 September 2018 is well-written and of interest, but remains several questions that are required for clarifications, such as (1) the number of publications for each year should be noted at the bottom of Figure 1 so that any reader who is interested in reproducing the exponential growth curve(EGC) can compare them each other; (2) the node size in Figure 2 representing the number of author outputs, with larger size indicating more outputs, should be further clarified about the meaning in social network analysis(SNA); and (3) the burst strength and the corresponding temporal bar graphs(TBG) for keywords and citation references in Figures 7 and 9 requires further interpretations. We listed suggestions and references to the article for improvement made in the future relevant studies, including (1)the inflection point(IP) on the EGC; (2) the node size in Figure 2 should equal the weighted publication in comparison to other nodes in the network; and (3) the improved TBG combined with IP and burst strength using the bar size to represent is demonstrated. The three improved visualization of EGC, SNA, and TBG were suggested to the article and the future studies with deeper insights into the bibliometric analysis and make the data easier and clearer to understand.

Suggestions to the article: Visualizing Collaboration Characteristics and Topic Burst on International Mobile Health Research (Preprint)

2021 ◽  
Author(s):  
Ju-Kuo Lin ◽  
Tsair-wei Chien ◽  
Willy Chou
Keyword(s):  
Growth Curve ◽  
Mobile Health ◽  
Inflection Point ◽  
Original Data ◽  
Cumulative Number ◽  
Burst Strength ◽  
Future Studies ◽  
Number Of Publications ◽  
Frequency Burst

UNSTRUCTURED The article published on 5 June 2018 is well-written and of interest, but remains several questions that are required for clarifications, such as (1) the logical growth curve and the inflection point applied to Figure 2 did not explain the source of theory in literature; (2) the 27 keywords with a frequency not less than 10 and burst strength not less than 2 were not consistent with those extracted from the article shown in Multimedia Appendix 7; and (3) the computation of burst strength for keywords is unclear and requires further interpretations. We obtained the original data from the article and verified (1) the equation of the growth curve and the determination of inflection point on a given ogive curve; (2) the visualization of 23 keywords can be on a dashboard using the temporal bar graph to display; and (3) the computation of burst strength for keywords should be explained further in the article. We found that the equation fitting to the cumulative number of publications over years since 1997 is somewhat different from ours, though the inflection point is identical; (2) the visualization combined with other valuable information on topic bursts is merit good for applications in bibliographic studies; (3) the burst strength combined with frequency and burst coefficient through a formula(=ln(sqrt(frequency × burst coefficient)+1) can be applied to future studies. The three ways to solve the questions in the article provide deeper insights into the bibliometric analysis and make the data easier and clearer to understand.

Introduction

2020 ◽  
pp. xxii-13
Author(s):  
Ryan Light ◽  
James Moody
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Bibliometric Analysis ◽  
Social Life ◽  
New Directions ◽  
Central Paradigm

This chapter provides an introduction to this volume on social networks. It argues that social network analysis is greater than a method or data, but serves as a central paradigm for understanding social life. The chapter offers evidence of the influence of social network analysis with a bibliometric analysis of research on social networks. This analysis underscores how pervasive network analysis has become and highlights key theoretical and methodological concerns. It also introduces the sections of the volume broadly structured around theory, methods, broad conceptualizations like culture and temporality, and disciplinary contributions. The chapter concludes by discussing several promising new directions in the field of social network analysis.

scholarly journals Bibliometric Analysis of Moxibustion Research Trends Over the Past 20 Years

2020 ◽  
Vol 9 (5) ◽  
pp. 1254 ◽  
Author(s):  
Hyejin Park ◽  
In-Seon Lee ◽  
Hyangsook Lee ◽  
Younbyoung Chae
Keyword(s):  
Network Analysis ◽  
Bibliometric Analysis ◽  
Collaborative Work ◽  
Research Area ◽  
Research Trends ◽  
Global Network ◽  
Journal Title ◽  
Link Strength ◽  
Number Of Publications ◽  
Bibliometric Approach

Objectives: A bibliometric approach using network analysis was applied to identify the development and research trends for moxibustion. This study also examined the network hub of moxibustion research by investigating the collaborative work of organizations and authors. Methods: Academic articles on moxibustion research published from 2000 to 2019 were retrieved from the Web of Science database. Extracted records were analyzed according to publication year, research area, journal title, country, organization, and authors. The VOSviewer program was utilized to visualize the trends in moxibustion research and to explore the influential organizations and authors. Results: Analyses of 1146 original and review articles written in English demonstrated that the number of publications related to moxibustion research has increased consistently over the last 20 years. China issued the most articles in this field, and the most represented research area was integrative complementary medicine. A network analysis based on the co-occurrence and publication year of keywords identified the relevant characteristics and trends of moxibustion research. By assessing the total link strength of organizations and authors, influential organizations and authors who have contributed to moxibustion research were identified. Conclusions: The current study examined research on moxibustion using bibliometric analysis and identified a time-based development of moxibustion research and a global network hub of moxibustion research.

scholarly journals Using Google Maps to Show the Pattern of International Co-Author Collaboration in Pharmaceutics

2018 ◽  
pp. 1-9
Keyword(s):  
Drug Delivery ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Graphical Representations ◽  
Deep Insight ◽  
Microsoft Excel ◽  
Google Maps ◽  
Future Studies ◽  
Insight Into

Objective: To understand international co-author collaboration in pharmaceutics and to visualize results by Google maps and social network analysis (SNA). Methods: Selecting 311 abstracts from the Medline based on keyword pharmaceutics [journal], we reported following features of pharmaceutics: (1) nation distribution across continents; (2) main keywords frequently displayed in papers; (3) the eminent author in pharmaceutics. We programmed Microsoft Excel VBA for extracting data from Medline. Google Maps and SNA Pajek software show graphical representations of pharmaceutics. Results: We found that (1) the most number of papers in nations are from U.S.(81, 16.05%) and Japan(34, 10.93%); (2) the most linked keywords are Pharmacokinetics and drug delivery; (3) the eminent authors are Muhammad Sohail Arshad(UK) and Takeshi Yokoo(Japan). Conclusion: Social network analysis provides wide and deep insight into relationships of entities we interested. The results drawn from Google maps can provide more information to future studies in academics.

scholarly journals MAPPING THE FIELD: A BIBLIOMETRIC ANALYSIS OF EMPLOYEE VOICE

2021 ◽  
Vol 4 (13) ◽  
pp. 01-21
Author(s):  
Jen Ling Gan ◽  
Aqilah Yaacob
Keyword(s):  
Bibliometric Analysis ◽  
The United States ◽  
Employee Voice ◽  
Research Trend ◽  
Voice Behavior ◽  
Vos Viewer ◽  
The Future ◽  
Author Keywords ◽  
Number Of Publications ◽  
Global Research

Objective: There is limited literature that discussed the trend of ‘employee voice’. Hence, this bibliometric analysis is aimed to evaluate the global research growth to retrieve and analyze the publication on ‘employee voice’. The bibliometric analysis is used to search the database of Scopus from the oldest publication in 1986 to the recent publication in 2019. The objectives were to evaluate the trend of ‘employee voice’ research, details of co-authorship, leading institutions and countries, top scholars, and leading author keywords. Methodology: This study used VOS Viewer 1.6.11 to analyze and visualize the global research trend on ‘employee voice’ in analyzing the bibliographic data. Bibliometric maps were retrieved from VOS Viewer 1.6.11. Results: This study retrieved 443 journal articles from the Scopus database from 1986 to 2019. The publication’s trend revealed that the number of publications has been increasing steadily since 2005. The leading countries in ‘employee voice’ research are the United Kingdom and the United States. Among the fifteen leading universities, five of them were from the world’s top 150 universities. Among the keywords, ‘voice behavior’ has the most linkage with ‘employee voice’, which indicated that employee voice is active in the business and management field compared to other fields such as nursing and psychology. According to the author keywords analysis, ‘promotive voice’ and ‘prohibitive voice’ were found to become a potential concerned area in the future as they started to receive attention in 2017. Implication: This paper can be beneficial for academicians, organizations, and business policymakers in understanding the global trend of ‘employee voice’ besides discovering the future directions and opportunities for future studies.

scholarly journals A BIBLIOMETRIC ANALYSIS OF RHEUMATOLOGY AND COVID-19 RESEARCHES

2021 ◽  
Author(s):  
Ozge Pasin ◽  
Tugce Pasin
Keyword(s):  
Bibliometric Analysis ◽  
Correlation Coefficients ◽  
Substantial Impact ◽  
Future Studies ◽  
The Usa ◽  
Number Of Publications ◽  
Number Of Citations ◽  
Insight Into ◽  
Reference Counts ◽  
General Perspective

Objectives: COVID-19 has had a substantial impact on rheumatology. This study provides a general overview of studies on rheumatology and COVID-19. Methods: Data were taken from the Web of Science (WoS) website. Analysis and network visualization mapping processes were carried out using VOSviewer. A total of 234 publications were analyzed, and the correlations between citation numbers and reference counts, usage counts and page numbers were analyzed with Spearman correlation coefficients. Results: The average number of citations per item was 6.03. The studies were cited 1,411 times in total, and 1,121 times without self-citations. The countries with the highest number of publications on rheumatology and COVID-19 were the USA and England; the countries with the highest number of citations were Italy and the USA, and Jinoos Yazdany was the most cited author. The Annals of the Rheumatic Diseases was the most cited journal, whereas the highest number of articles on rheumatology and COVID-19 were published in Arthritis and Rheumatology. Conclusions: Bibliometric analysis of rheumatology and COVID-19 can be useful to future studies because it provides a general perspective on the studies. This study provides an insight into the development of publications on rheumatology during the COVID-19 pandemic.

Using Bibliometric Analysis to Measure and Understand the Gender Gap in Published Computing Books

2021 ◽  
Vol 13 (1) ◽  
pp. 31-44
Author(s):  
Arbana Kadriu ◽  
Kosovare Sahatqija ◽  
Lejla Abazi-Bexheti
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Computer Science ◽  
Bibliometric Analysis ◽  
Gender Gap ◽  
Keyword Extraction ◽  
Content Learning ◽  
Female Authors ◽  
Analysis Methods

The purpose of the research presented in this paper is the investigation of the gender gap in published computing books. The book titles from the DBLP computer science bibliography were the basis for this investigation. The conducted research involves co-authorship network exploration using social network analysis methods, as well as content learning by keyword extraction and ranking from book titles. The findings show that female authors tend to publish fewer books in computing than their male colleagues, and there is a huge gap of women regarding the collaboration. There are just two women names within the 50 author names with the highest social network top metrics, indicating collaboration. Regarding the extracted keywords, though there are differences, results do not show some huge divergences when it comes to the used language for computing titles.

scholarly journals The COVID problem reflected by economics – A bibliometric analysis

2021 ◽  
Vol 71 (S1) ◽  
pp. 205-221
Keyword(s):  
Social Network ◽  
Network Analysis ◽  
Web Of Science ◽  
Time Span ◽  
Limited Time ◽  
Keyword Analysis ◽  
Publication Patterns ◽  
Number Of Publications ◽  
The Given ◽  
The Web

Abstract COVID-19 has been the “hottest” topic in many fields of research during 2020–2021. Our analysis focuses on the publications related to the pandemic in the business and economics area. Using the Web of Science database, the main international research patterns in this field have been analysed. Our research covers less than two years (2020 and part of 2021), but the number of publications is large (more than 1,000) in this limited time span. The publication patterns of the CEE countries have also been examined. Bibliometric and social network analysis was used to assess which countries and institutions published the most during this period. For analysing the main trends in the given field, keyword analysis was performed.

Sign in / Sign up

Export Citation Format

Share Document