Redes de coautoría de investigación en salud pública en Santander

Naranjo-Estupiñan, Néstor F.; Mora, Query J.; Jaimes-Vega, Diana Carolina; Idrovo, Álvaro J.

doi:10.7705/biomedica.v34i2.2127

Cited by 4 publications

(1 citation statement)

References 30 publications

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“…Research on innovation cooperation networks in the field of public health can be divided into two perspectives, which are regional and global. For example, regional research investigated innovation cooperation networks for tropical diseases, such as malaria, dengue fever, and leprosy, in Brazil ( 15 ), public health in Colombia ( 16 ), biotechnology in northeastern Brazil ( 17 ), tropical diseases in Germany ( 18 ), and health care among Spanish universities ( 19 ) to provide information for the strategic planning of health organizations in the respective regions. Global research mainly examined global research cooperation networks for a specific disease, drug, and biotechnology.…”

Section: Introductionmentioning

confidence: 99%

Structural characteristics of China's COVID-19 patent cooperation network at the province, city, and patent applicant levels

Xia

Wang

Zhang

et al. 2022

Front. Public Health

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The Chinese Plan has provided an important model for the global fight against COVID-19 since its outbreak. The present study describes the structural characteristics of China's COVID-19 patent cooperation network at the province, city, and applicant levels by using social network analysis based on data from the Incopat global patent database since 2020, which helps to clarify the current technology accumulation in this field in China, and provide patent information support for the scientific efforts to fight against COVID-19. The findings are as follows: First, the inter-regional cooperation level in China's COVID-19 patent cooperation network shows a decreasing trend from eastern to central to western regions. At the inter-applicant cooperation level, kinship-based cooperation is the strongest, business-based cooperation has the widest scope, while proximity-based cooperation exists throughout these two main models of cooperation. Second, coastal provinces and cities occupy a core position in the network, and play an important role in utilizing structural holes and bridging. Patent applicants with high centrality are mostly firms. Research institutes and universities mainly play the role of bridges. Third and lastly, there is no large number of cliques at the province and city levels. However, there is a tendency for cliques to develop at the applicant level. Hence, actions are needed to prevent the development of information barriers.

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Section: Introductionmentioning

confidence: 99%

Structural characteristics of China's COVID-19 patent cooperation network at the province, city, and patent applicant levels

Xia

Wang

Zhang

et al. 2022

Front. Public Health

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An Efficient Parallel Optimization for Co-Authorship Network Analysis

Valêncio

Freitas

Souza

et al. 2017

2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT)

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Co-authorship network analysis in health research: method and potential use

Fonseca

Sampaio

Fonseca

et al. 2016

Health Res Policy Sys

182

137

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Scientific collaboration networks are a hallmark of contemporary academic research. Researchers are no longer independent players, but members of teams that bring together complementary skills and multidisciplinary approaches around common goals. Social network analysis and co-authorship networks are increasingly used as powerful tools to assess collaboration trends and to identify leading scientists and organizations. The analysis reveals the social structure of the networks by identifying actors and their connections. This article reviews the method and potential applications of co-authorship network analysis in health. The basic steps for conducting co-authorship studies in health research are described and common network metrics are presented. The application of the method is exemplified by an overview of the global research network for Chikungunya virus vaccines.

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Redes de coautoría de investigación en salud pública en Santander

Cited by 4 publications

References 30 publications

Structural characteristics of China's COVID-19 patent cooperation network at the province, city, and patent applicant levels

Structural characteristics of China's COVID-19 patent cooperation network at the province, city, and patent applicant levels

An Efficient Parallel Optimization for Co-Authorship Network Analysis

Co-authorship network analysis in health research: method and potential use

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