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.

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.

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

Visualization of e-Health Research Topics and Current Trends Using Social Network Analysis

2015 ◽  
Vol 21 (5) ◽  
pp. 436-442 ◽  
Author(s):  
Youn-Jung Son ◽  
Senator Jeong ◽  
Byeong-Gwon Kang ◽  
Sun-Hyung Kim ◽  
Soo-Kyoung Lee
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Health Research ◽  
Research Topics ◽  
Current Trends

scholarly journals Mapping global Muslim mental health research: analysis of trends in the English literature from 2000 to 2015

2019 ◽  
Vol 6 ◽  
Author(s):  
H. H. Altalib ◽  
K. Elzamzamy ◽  
M. Fattah ◽  
S. S. Ali ◽  
R. Awaad
Keyword(s):  
Mental Health ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Health Research ◽  
Global Mental Health ◽  
English Literature ◽  
Mental Health Research ◽  
Post Traumatic Stress ◽  
The Impact

Background.By 2030, the global Muslim population is expected to reach 2.2 billion people. The representations of Islam and Muslims in the media and academic literature may unconsciously impact how clinicians perceive and approach their Muslim patients. Our study focuses on the emerging Muslim mental health (MMH) literature using bibliometric analysis, specifically social network analysis of word co-occurrence and co-authorship networks of academic publications, to describe how the content of MMH discourse is evolving.Methods.We conducted an Ovid search (including Medline and PsycInfo databases) to identify articles written in English from 2000 to 2015 that had the terms ‘Islam’ and/or ‘Muslim’ in the abstract as well as research conducted in Muslim-majority countries and among Muslim minorities in the rest of the world.Results.Of the 2652 articles on MMH, the majority (65.6%) focused on describing psychopathology; the minority (11.2%) focused on issues around stigma, religiosity, spirituality, identity, or acculturation. Among the top 15 most frequent terms in abstracts were ‘post-traumatic stress disorder’, ‘violence’, ‘fear’, ‘trauma’, and ‘war’. Social network analysis showed there was little collaborative work across regions.Conclusions.The challenges of producing MMH research are similar to the challenges faced across global mental health research. Much of the MMH research reflects regional challenges such as the impact of conflict and violence on mental health. Continued efforts to develop global mental health researchers through cross-cultural exchanges, academic journals' dedicated sections and programs for global mental health recruitment, and online training are needed to address the gap in research and collaborations.

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.

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.

scholarly journals Using Social Network Analysis to Visualize Networks in American Indian Health Research

2019 ◽  
Vol 2 (1) ◽  
pp. 8
Author(s):  
Jessica D. Hanson ◽  
Morgan E. Nelson ◽  
Abby Martin ◽  
Lindsay Erickson ◽  
Susan E. Puumala ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
American Indian ◽  
Health Research ◽  
Indian Health ◽  
American Indian Health
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