scholarly journals International Scientific Collaboration in Research of Depression based on Social Network Analysis

Author(s):  
Ying Wu ◽  
Zhiguang Duan
Author(s):  
Maria Isabel Escalona-Fernandez ◽  
Antonio Pulgarin-Guerrero ◽  
Ely Francina Tannuri de Oliveira ◽  
Maria Cláudia Cabrini Gracio

This paper analyses the scientific collaboration network formed by the Brazilian universities that investigate in dentistry area. The constructed network is based on the published documents in the Scopus (Elsevier) database covering a period of 10 (ten) years. It is used social network analysis as the best methodological approach to visualize the capacity for collaboration, dissemination and transmission of new knowledge among universities. Cohesion and density of the collaboration network is analyzed, as well as the centrality of the universities as key-actors and the occurrence of subgroups within the network. Data were analyzed using the software UCINET and NetDraw. The number of documents published by each university was used as an indicator of its scientific production.


2021 ◽  
Author(s):  
Rebekah R Jacob ◽  
Ariella R Korn ◽  
Grace C Huang ◽  
Douglas Easterling ◽  
Daniel A Gundersen ◽  
...  

Abstract Background: Multi-center research initiatives offer opportunities to develop and strengthen connections among researchers. These initiatives often have goals of increased scientific collaboration which can be examined using social network analysis.Methods: The National Cancer Institute (NCI)-funded Implementation Science Centers in Cancer Control (ISC3) initiative conducted an online social network survey in its first year of funding (2020) to examine early scientific linkages among members (faculty, staff, trainees) and recognize areas for network growth. Members of the seven funded centers and NCI program staff identified collaborations in: planning/conducting research, capacity building, product development, scientific dissemination, practice/policy dissemination.Results: Of the 192 invitees, 182 network members completed the survey (95%). The most prevalent roles were faculty (60%) and research staff (24%). Almost one-quarter (23%) of members reported advanced expertise in implementation science (IS), 42% intermediate, and 35% beginner. Most members were female (69%) and white (79%). Across all collaboration activities, the network had a density of 14%, suggesting high cohesion for its first year. One-third (33%) of collaboration ties were between members from different centers. Degree centralization (0.33) and betweenness centralization (0.07) measures suggest a fairly saturated network (no one or few central member(s) holding all connections). The most prevalent and densely connected collaboration network was for planning/conducting research (1470 ties; 8% density). Practice/policy dissemination had the fewest collaboration ties (284), lowest density (3%), and largest number of non-connected members (n=43). Median degree (number of collaborations) varied across member characteristics and collaboration activities. Members with advanced IS expertise were more connected than intermediate/beginner groups for most activities (e.g., advanced IS members had a median of 24 capacity building collaborations (range: 4-58) vs. intermediate (median 9; range 2-53) and beginner (median 7; range 1-49) members. The number of practice/policy dissemination collaborations were similarly low across IS expertise levels (median degree 3 for advanced, 2 intermediate, 2 beginner). Conclusions: Results provide important directions for interventions within the ISC3 network to increase scientific collaboration and capacity, with a focus on growing cross-center collaborations and increasing engagement of under-represented groups. Findings will be used to capture infrastructure development as part of the initiative’s evaluation.


2020 ◽  
Vol 46 (1) ◽  
pp. 319-339 ◽  
Author(s):  
C. García-Hernández ◽  
J. Ruiz-Fernández ◽  
E. Serrano-Cañadas

This research examines the collaboration relationships between those authors affiliated to Iberian institutions and involved in periglacial studies between 2000 and 2017. The data has been extracted from the Google Scholar database and processed using Social Network Analysis (SNA) techniques. A total of 230 scientific publications have been selected, involving 198 researchers of which 113 belong to Spanish institutions, 38 to Portuguese institutions and 47 to foreign institutions. The work carried out by the Iberian community (assembled through national groups linked to the International Permafrost Association) has considerably improved its possibilities of dissemination and citation in this period: There has been an increase in the number of publications per year, in the number of authors per publication, and in the number of publications with international collaboration. Nowadays there is a group of very productive and well-connected authors, who play an important role as intermediaries, and future prospects are good. However, 50% of the authors have a low capacity for interaction, and there is a low presence of women in the network: These imbalances should constitute the main challenges to be faced by the Iberian community in the next decade. Beyond the Iberian community of periglacial scholars, this study provides an example of methodology to be applied in other co-authorship networks in subdisciplines of the Earth Sciences, and its results are discussed in this sense. The results of this research offer valuable information for the management of scientific collaboration programs, the selection of representatives and to weigh the possibilities and needs of the Iberian network. But, especially, it presents a socioscientific framework of reference for early career scientists and makes them aware of the need to integrate themselves into a booming scientific community.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Efrén Romero-Riaño ◽  
Cesar Darío Guerrero-Santander ◽  
Hugo Ernesto Martínez-Ardila

Increasingly, Agricultural Innovation Systems, AIS, have been recognized as fundamentals pathways for agricultural science impact. This new thinking focuses on innovation, not as the end of pipe outcome of knowledge transfer, but as a continuous process ofsocial, technical and scientific collaboration at regional and higherlevel systems that impacts on productivity and innovation performance. This paper surveys the agricultural innovation system in Colombia. We analyze collaboration between authors, institutions and countries from the perspective of social network analysis to introduce a descriptive review of the scientific collaboration in terms of links (discipline structure) and nodes (actors). A mixed methodology is implemented based on co-authorship bibliometric mapping using VOS VIEWER and social network analysis based on the software UCINET. Whereas exogenous authors and institutions are the most connected in terms of interaction, they have lower influence than endogenous authors.


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