scholarly journals Social network analysis in Geosciences: scientific collaboration between periglacial scholars in the Iberian Peninsula

2020 ◽  
Vol 46 (1) ◽  
pp. 319-339 ◽  
Author(s):  
C. García-Hernández ◽  
J. Ruiz-Fernández ◽  
E. Serrano-Cañadas
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Scientific Collaboration ◽  
Early Career ◽  
Scientific Publications ◽  
The Earth ◽  
Number Of Publications ◽  
Selection Of ◽  
Number Of Authors

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.

scholarly journals Evaluating Professional Networks in a Gerontological Pre-Dissertation Initiative Using Social Network Analysis

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 549-550
Author(s):  
Erin Murphy ◽  
Rebecca Mauldin ◽  
Jennifer Greenfield ◽  
Nancy Kusmaul ◽  
Noelle Fields ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Early Career ◽  
Professional Relationships ◽  
Professional Networks ◽  
Professional Needs ◽  
Early Career Faculty ◽  
Professional Network ◽  
Conference Presentations

Abstract Professional networks are critical for PhD students and early career faculty, yet there is scant research on the development of their professional networks. Social network analysis is a useful approach to describe the development of professional networks. This methodological paper explains its use and benefits, using a social network analysis of alumni from the first three cohorts of the Association of Gerontological Education in Social Work (AGESW)’s Pre-Dissertation Fellowship Program (PDFP) as an example. We present results, challenges, and recommendations. Alumni (n = 12) reported meeting an average of 20 scholars (SD = 13.2) through AGESW. These professional relationships led to collaborations on conference presentations and manuscripts as well as opportunities to leverage the relationships for future professional needs. Suggested applications of social network analysis for program evaluation, such as co-author and citation networks, are also presented with a focus on training programs designed to support robust professional network development.

scholarly journals Scientific collaboration network ammong Brazilian universities

2013 ◽  
Vol 6 (1) ◽  
Author(s):  
Maria Isabel Escalona-Fernandez ◽  
Antonio Pulgarin-Guerrero ◽  
Ely Francina Tannuri de Oliveira ◽  
Maria Cláudia Cabrini Gracio
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Scientific Collaboration ◽  
Methodological Approach ◽  
Scientific Production ◽  
Collaboration Network ◽  
Network Data ◽  
New Knowledge

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.

Collaboration Networks of the Implementation Science Centers for Cancer Control (ISC3): A Social Network Analysis

2021 ◽  
Author(s):  
Rebekah R Jacob ◽  
Ariella R Korn ◽  
Grace C Huang ◽  
Douglas Easterling ◽  
Daniel A Gundersen ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Implementation Science ◽  
Scientific Collaboration ◽  
Cancer Control ◽  
First Year ◽  
Science Centers ◽  
Policy Dissemination ◽  
Conducting Research

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.

scholarly journals The Response of Indonesian STI Actors in the Mitigation of COVID-19

2021 ◽  
Vol 37 (1) ◽  
Author(s):  
Maulana Akbar ◽  
Tri Handayani
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Community Response ◽  
Research Development ◽  
Scientific Publications ◽  
Research And Innovation ◽  
First Case ◽  
Innovation Product ◽  
Science Community

The COVID-19 pandemic spreads rapidly in Indonesia at the beginning of 2021 that requires quick action from various parties, including the science community. Researchers from Research and Development (R&D) institutions and universities that produce research and innovation products are expected to provide solutions to help accelerate COVID-19 pandemic mitigation in Indonesia. This research aims to map how the STI community response to the COVID-19 pandemic through research in the form of international scientific publications and products resulting from research, development, and innovation. The data were collected from 108 scientific articles from SCOPUS and 127 news articles from COVID-19 consortium products issued by Kemenristek/BRIN. Researchers used social network analysis to show how research networks are formed in producing research and innovation products in the first six months after the first case of COVID-19 in Indonesia.  Even though the study argues that there is the network of relationships formed from research and the products produced is still weak, the key of research and utilized innovation product in collaboration with between global institution and industry.

Pair Selection of Appropriate Taxi Drivers Using Social Network Analysis Models

2018 ◽  
Author(s):  
Chawit Rujichansiri ◽  
Kwanchai Kungcharoen ◽  
Prajin Palangsantikul ◽  
Parham Porouhan ◽  
Wichian Premchaiswadi
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Taxi Drivers ◽  
Analysis Models ◽  
Selection Of
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