Network Analysis of Publications on Topological Indices from the Web of Science

2014 ◽  
Vol 33 (8) ◽  
pp. 514-535 ◽  
Author(s):  
Jernej Bodlaj ◽  
Vladimir Batagelj
Keyword(s):  
Network Analysis ◽  
Web Of Science ◽  
Topological Indices ◽  
The Web

scholarly journals Thirty Years of Human Rights Study in the Web of Science Database (1990–2020)

2021 ◽  
Vol 18 (4) ◽  
pp. 2131
Author(s):  
Priscilla Paola Severo ◽  
Leonardo B. Furstenau ◽  
Michele Kremer Sott ◽  
Danielli Cossul ◽  
Mariluza Sott Bender ◽  
...  
Keyword(s):  
Mental Health ◽  
Decision Making ◽  
Human Rights ◽  
Network Analysis ◽  
Reproductive Health ◽  
Web Of Science ◽  
Health Issues ◽  
Human Beings ◽  
Field Of Study ◽  
The Web

The study of human rights (HR) is vital in order to enhance the development of human beings, but this field of study still needs to be better depicted and understood because violations of its core principles still frequently occur worldwide. In this study, our goal was to perform a bibliometric performance and network analysis (BPNA) to investigate the strategic themes, thematic evolution structure, and trends of HR found in the Web of Science (WoS) database from 1990 to June 2020. To do this, we included 25,542 articles in the SciMAT software for bibliometric analysis. The strategic diagram produced shows 23 themes, 12 of which are motor themes, the most important of which are discussed in this article. The thematic evolution structure presented the 21 most relevant themes of the 2011–2020 period. Our findings show that HR research is directly related to health issues, such as mental health, HIV, and reproductive health. We believe that the presented results and HR panorama presented have the potential to be used as a basis on which researchers in future works may enhance their decision making related to this field of study.

scholarly journals A Bibliometric Network Analysis of Coronavirus during the First Eight Months of COVID-19 in 2020

2021 ◽  
Vol 18 (3) ◽  
pp. 952 ◽  
Author(s):  
Leonardo B. Furstenau ◽  
Bruna Rabaioli ◽  
Michele Kremer Sott ◽  
Danielli Cossul ◽  
Mariluza Sott Bender ◽  
...  
Keyword(s):  
Decision Making ◽  
Network Analysis ◽  
Web Of Science ◽  
Future Research ◽  
Future Trends ◽  
Damage Prevention ◽  
Over Time ◽  
The Web

The COVID-19 pandemic has affected all aspects of society. Researchers worldwide have been working to provide new solutions to and better understanding of this coronavirus. In this research, our goal was to perform a Bibliometric Network Analysis (BNA) to investigate the strategic themes, thematic evolution structure and trends of coronavirus during the first eight months of COVID-19 in the Web of Science (WoS) database in 2020. To do this, 14,802 articles were analyzed, with the support of the SciMAT software. This analysis highlights 24 themes, of which 11 of the more important ones were discussed in-depth. The thematic evolution structure shows how the themes are evolving over time, and the most developed and future trends of coronavirus with focus on COVID-19 were visually depicted. The results of the strategic diagram highlight ‘CHLOROQUINE’, ‘ANXIETY’, ‘PREGNANCY’ and ‘ACUTE-RESPIRATORY-SYNDROME’, among others, as the clusters with the highest number of associated citations. The thematic evolution. structure presented two thematic areas: “Damage prevention and containment of COVID-19” and “Comorbidities and diseases caused by COVID-19”, which provides new perspectives and futures trends of the field. These results will form the basis for future research and guide decision-making in coronavirus focused on COVID-19 research and treatments.

scholarly journals Scientific authorship and collaboration network analysis on malaria research in Benin: papers indexed in the web of science (1996–2016)

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Roseric Azondekon ◽  
Zachary James Harper ◽  
Fiacre Rodrigue Agossa ◽  
Charles Michael Welzig ◽  
Susan McRoy
Keyword(s):  
Network Analysis ◽  
Web Of Science ◽  
Collaboration Network ◽  
Malaria Research ◽  
Scientific Authorship ◽  
The Web

scholarly journals ANALYSIS OF SCIENTIFIC PRODUCTION IN THE FIELD OF SUSTAINABLE TOURISM:

2021 ◽  
Vol 9 (3) ◽  
pp. 425-447
Author(s):  
Benedita Marta Gomes Costa ◽  
Patricia Veronica Pinheiro Sales Lima
Keyword(s):  
Sustainable Development ◽  
Network Analysis ◽  
Web Of Science ◽  
Sustainable Tourism ◽  
Scientific Production ◽  
Knowledge Network ◽  
Collaboration Network ◽  
Bibliometric Indicators ◽  
Tourism Management ◽  
The Web

The aim of this research was to investigate the dynamics of scientific production in the field of sustainable tourism, emphasizing the collaboration network, knowledge generated and the key authors and institutions that contribute to the advancement of knowledge.Information was collected from articles, books and proceeding papers using the Web of Science (WoS) platform from 1990 to 2018. A total of 7,051 documents were analyzed. Data were analyzed using network analysis and bibliometric indicators. Based on the information collected, scientific production linked on the economic pillar, particularly regarding terms such as sustainable tourism, tourism, management, sustainable development, sustainability, ecoturism and conservation. Thus, we found that the dynamics of collaboration in scientific production in sustainable tourism has a dense geographic network and proximity of themes as elements for structuring the knowledge network.

scholarly journals Risk in agriculture: An overview of the theoretical insights and recent development trends during last decade – A review

2019 ◽  
Vol 65 (No. 9) ◽  
pp. 435-444 ◽  
Author(s):  
Lina Novickytė
Keyword(s):  
Network Analysis ◽  
Bibliometric Analysis ◽  
Web Of Science ◽  
Recent Decade ◽  
Future Research ◽  
Scientometric Analysis ◽  
Development Trends ◽  
Policy Makers ◽  
Research Areas ◽  
The Web

The main purpose of this paper is to provide a detailed overview of the theoretical insights and recent development trends on risk in agriculture. It focuses on the synthesis and analysis of the research studies published over the period from 2008 through 2018 and aims to identify major findings obtained over the recent decade and determine the areas for future research. This paper reviews a total of 397 unique publications retrieved from the international journals accessible in the Web of Science database. Based on different criteria deployed by the scientometric analysis, the selected articles have been reviewed and classified. The bibliometric analysis includes the citation volumes, authors, names of journals, research areas, affiliations, and contributing countries. The network analysis includes the examination of keywords. This article provides an opportunity for scholars, practitioners, and policy-makers to understand and manage risk in agriculture and at the same time presents a roadmap for future research in this field.

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.

scholarly journals Bibliometric analysis about Economics approach to Bitcoins

Exacta ◽  
2019 ◽  
Vol 18 (1) ◽  
pp. 37-52
Author(s):  
Carla Cristiane Sokulski ◽  
Rafael Vignoli de Moura ◽  
Gustavo Tadra Waldmann ◽  
Antonio Carlos de Francisco ◽  
Gustavo Dambiski Gomes de Carvalho
Keyword(s):  
Network Analysis ◽  
Impact Factor ◽  
Bibliometric Analysis ◽  
Web Of Science ◽  
Descriptive Statistics ◽  
Wide Field ◽  
The Subject ◽  
Number Of Publications ◽  
The University ◽  
The Web

The objective of this article is to identify the main characteristics of scientific research regarding the approach economic about bitcoins. This study is based on bibliometric research and network analysis, with the use of descriptive statistics in 84 articles found on the Web of Science database.  The analysis used the programs VOSviewer and Excel. The main results show that Bouri, Bouoiyour, Dyhrberg and Selmi are the authors who published most articles and that the Université de Pau (France) and the University College Dublin (Ireland) are the institutions with most publications. The journal with most publications is Plos One, which presented a 3.057 impact factor. There are only three co-authoring networks with greater expressiveness, however, there are no links between them and the others. Despite the growing number of publications on the subject, the researchs is beginning, showing a wide field of exploration.

scholarly journals Mapping Global Neurosurgery Research Collaboratives: A Social Network Analysis of the 50 Most Cited Global Neurosurgery Articles

2021 ◽  
Vol 2 (2) ◽  
Author(s):  
Ulrick Sidney Kanmounye ◽  
Lorraine Arabang Sebopelo ◽  
Chiuyu Keke ◽  
Yvan Zolo ◽  
Wah Praise Senyuy ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Science And Technology Studies ◽  
Web Of Science ◽  
Pediatric Neurosurgery ◽  
Health System Strengthening ◽  
The Web ◽  
Authorship Analysis ◽  
Highly Cited

ABSTRACTSocial network analysis of bibliometric data evaluates the relationships between the articles, authors, and themes of a research niche. The network can be visualized as maps composed of nodes and links. This study aimed to identify and evaluate the relationships between articles, authors, and keywords in global neurosurgery. The authors searched global neurosurgery articles on the Web of Science database from inception to June 18, 2020. The 50 most cited articles were selected and their metadata (document coupling, co-authorship, and co-occurrence) was exported. The metadata were analyzed and visualized with VOSViewer (Centre for Science and Technology Studies, Leiden University, The Netherlands). The articles were published between 1995 and 2020 and they had a median of 4.0 (interquartile range [IQR] = 5.0) citations. There were 5 clusters in the document coupling and 10 clusters in the co-authorship analysis. A total of 229 authors contributed to the articles and Kee B. Park contributed the most to articles (14 publications). Backward citation analysis was organized into 4 clusters and co-occurrence analysis into 7 clusters. The most common themes were pediatric neurosurgery, neurotrauma, and health system strengthening. The authors identified trends, contributors, and themes of highly cited global neurosurgery research. These findings can help establish collaborations and set the agenda in global neurosurgery research.

scholarly journals 100 Years of Scientific Evolution of Work and Organizational Psychology: A Bibliometric Network Analysis From 1919 to 2019

2020 ◽  
Vol 11 ◽  
Author(s):  
Michele K. Sott ◽  
Mariluza S. Bender ◽  
Leonardo B. Furstenau ◽  
Laura M. Machado ◽  
Manuel J. Cobo ◽  
...  
Keyword(s):  
Network Analysis ◽  
Network Structure ◽  
Web Of Science ◽  
Organizational Psychology ◽  
Future Research ◽  
Process Data ◽  
Field Of Study ◽  
Emerging Themes ◽  
High Degree ◽  
The Web

In this study, we explore a 100 years of Work and Organizational Psychology (WOP). To do this, we carry out a bibliometric performance and network analysis (BPNA) to understand the evolution structure and the most important themes in the field of study. To perform the BNPA, 8,966 documents published since 1919 were exported from the Web of Science and Scopus databases. The SciMAT software was used to process data and to create the evolution structure, the strategic diagram, and the thematic network structure of the strategic themes of the field of WOP. We identified 29 strategic clusters and discuss the most important themes (motor themes) and their relationship with other clusters. This research presents the complete evolution of the field of study, identifying emerging themes and others with a high degree of development. We hope that this work will support researchers and future research in the field of WOP.

Flavonoids and other Non-Alkaloidal Constituents of Genus Erythrina: A Detailed Account of Phytochemical Review

2019 ◽  
Vol 23 ◽  
Author(s):  
Ninh The Son ◽  
Abdelsamed I. Elshamymistry
Keyword(s):  
Secondary Metabolites ◽  
Web Of Science ◽  
Herbal Medicines ◽  
Original Research ◽  
Chemical Structures ◽  
Fatty Acid Derivatives ◽  
Material Sources ◽  
Anti Cancer ◽  
Alkaloidal Constituents ◽  
The Web

: Genus Erythrina belongs to family Fabaceae, which widely distributed in tropical and subtropical areas, and has been applied in both traditional herbal medicines, and pharmacological uses. Original research articles and publications on overview of alkaloids related to this genus are available, but a supportive systematic review account highlighted phytochemical aspects of other types of secondary metabolites is now insufficient. Utilizing data information from SCI-Finder, Google Scholar, the Web of Science, Scopus, Science Direct, PubMed, Chemical Abstracts, ACS journals, Springer, Taylor Francis, Bentham Science and IOP Science, the reliable material sources of this systematic manuscript paper were obtained from the literature published from 1980s to now. A vast amount of data showed that the non-alkaloidal secondary metabolites obtained from genus Erythrina with various classes of chemical structures. Herein, approximately five hundred constituents were isolated comprising of flavonoids, terpenoids, saponins, phytosterols, phenols, arylbenzofurans, coumarins, alcohols, ceramides, mono-sugars and fatty acid derivatives. It resembles the previously phytochemical reports on the plants of differential genus of family Fabaceae, flavonoids reached to the high amount in plants of genus Erythrina. Numerous biological researches such as anti-microbacteria, anti-cancer, anti-virus using isolated compounds from Erythrina species suggested that secondary metabolites of Erythrina plants are now becoming promising agents for drug developments.

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