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.

The architecture of the addiction lobby

2017 ◽  
Author(s):  
David Miller ◽  
Claire Harkins ◽  
Matthias Schlögl ◽  
Brendan Montague
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Think Tanks ◽  
The Other ◽  
Food Industries ◽  
The Web

This chapter uses social network analysis to explore the web of influence of the four ‘addictive’ industries examined in the book: alcohol, tobacco, food, and gambling. The data are used to paint an overall picture before taking a closer look in subsequent chapters. The four industries form more or less separated clusters, and whereas the alcohol and food industries are very well interconnected, the gambling and tobacco industries are only loosely tied to the others. The network also shows that advertising and marketing sectors and think tanks often act as connecting hubs between the industries. The closer look at the clusters of the four industries shows some important differences. The food cluster is more heterogeneous than the others are; the alcohol cluster contains product-related subclusters; and gambling, as well as tobacco, is smaller and less dense compared with the other two.

scholarly journals Basic Criteria, Models, and Indicators of Intersectoral Collaboration in Health Promotion: A Scoping Review

2021 ◽  
Author(s):  
Mohammad Reza Amir Esmaili ◽  
Behzad Damari ◽  
Ahmad Hajebi ◽  
Noora Rafiee ◽  
Reza Goudarzi ◽  
...  
Keyword(s):  
Health Promotion ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Scoping Review ◽  
Web Of Science ◽  
Decision Makers ◽  
Macro Level ◽  
Intersectoral Collaboration ◽  
Micro Level

Background: In this study, the basic criteria, models, and indicators of intersectoral collaboration in health promotion were investigated to facilitate the implementation of collaboration. Methods: This scoping review was conducted using datasets of Embase, Web of Science, Scopus, and PubMed, and search engines of Google, Google Scholar, and ProQuest. Results: 52 studies were included, and 32 codes in Micro, Meso, and Macro level, were obtained. Micro-level criteria had the highest frequency. Among the models used in the reviewed studies, social network analysis, Diagnosis of Sustainable Collaboration, Bergen, and logic models had the highest frequency. Among the indicators studied, the number of participants and the level of collaboration as well as its sustainability were the most frequent indicators. Conclusion: The findings identified the most important and widely used criteria, models, and indicators of intersectoral collaboration in health promotion which can be useful for decision-makers and planners in the domain of health promotion, in designing, implementing, and evaluating collaborative programs.

scholarly journals Health research networks on the web: an analysis of the Brazilian presence

2014 ◽  
Vol 30 (2) ◽  
pp. 369-378 ◽  
Author(s):  
Pamela Barreto Lang ◽  
Fabio Castro Gouveia ◽  
Jacqueline Leta
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Health Research ◽  
Virtual World ◽  
World Health ◽  
Web Presence ◽  
Health Organization ◽  
Health Field ◽  
The Web

In order to map Brazilian institutions’ web presence in an international network of health research institutions, a study was conducted in 2009, including 190 institutions from 42 countries. The sample was based on WHO (World Health Organization) collaborating centers, and the methodology used webometric analyses and techniques, especially interlinks, and social network analysis. The results showed the presence of five Brazilian institutions, featuring the Oswaldo Cruz Foundation (Fiocruz), showing links to 20 countries and 42 institutions. Through the interface between the health field and the web, the study aims to contribute to future analyses and a plan for strategic repositioning of these institutions in the virtual world, as well as to the elaboration of public policies and recognition of webometrics as an area to be explored and applied to various other fields of knowledge.

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.

A social network analysis of the Philippine seaweed farming industry: Unravelling the web

Marine Policy ◽  
2020 ◽  
Vol 118 ◽  
pp. 104007 ◽  
Author(s):  
Jee Grace B. Suyo ◽  
Virginie Le Masson ◽  
Louise Shaxson ◽  
Maria Rovilla J. Luhan ◽  
Anicia Q. Hurtado
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Seaweed Farming ◽  
Farming Industry ◽  
The Web

Who connects with whom? A social network analysis of an online open source software community

First Monday ◽  
2011 ◽  
Author(s):  
Cuihua Shen ◽  
Peter Monge
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Open Source ◽  
Open Source Software ◽  
Online Community ◽  
Online Social Network ◽  
The Social ◽  
Collaboration Dynamics ◽  
The Web

By examining “who connects with whom” in an online community using social network analysis, this study tests the social drivers that shape the collaboration dynamics among a group of participants from SourceForge, the largest open source community on the Web. The formation of the online social network was explored by testing two distinct network attachment logics: strategic selection and homophily. Both logics received some support. Taken together, the results are suggestive of a “performance-based clustering” phenomenon within the OSS online community in which most collaborations involve accomplished developers, and novice developers tend to partner with less accomplished and less experienced peers.

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