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Tools to facilitate the search for information and identification of trends in research Herramientas para facilitar la búsqueda de información e identificación de tendencias en la investigación

How to Cite
Romero-Riaño, E. (2020). Tools to facilitate the search for information and identification of trends in research. Proceedings of Cenicafe´s Scientific Seminar, 71(1), e71108. https://doi.org/10.38141/10795/71108




Keywords
Sistemas de innovación agrícola

redes sociales

análisis de redes sociales

visualización científica

Vosviewer

coautoría

colaboración

redes de coocurrencia de palabras

Coffea arabica

Sistemas de inovação agrícola

redes sociais

análise de redes sociais

visualização científica

Vosviewer

coautoria

colaboração

redes de co-ocorrência de palavras

Coffea arabica

agricultural innovation systems

agricultural research systems

social networks

social network analysis

scientific visualization

vosviewer

coauthorship

collaboration

keyword coocurrence

Sectión
Documentation Center
Efrén Romero-Riaño

Summary

The use of social network analysis and visualization to model the performance of knowledge generation, dissemination and use functions of agricultural innovation systems is not a common practice within science. This presentation addresses the visualization model of co-occurrence networks to analyze knowledge flows, new research research topics, and scientific collaboration with a technological vision focused on coffee as a product. This case study shows the results of the collaboration networks and the thematic evolution of the articles from Cenicafé, the most important coffee research center in Colombia. The results indicate little diversity of co-authorship networks; 96% of collaboration links are centered in national and supranational universities and there is no evidence of collaboration links with companies. The results of the study of the subjects evolution show a tradition in subjects on the Arabica variety centered in problems of the plant. There is a transition towards genetic problems, ecosystem services, agroforestry systems, and the quality of coffee beverages. Future analyses will be able to address knowledge flows among organizations globally.

Efrén Romero-Riaño, Universidad de Industrial de Santander

Profesional del área de ciencia de datos, especializado en Cienciometría y Bibliometría de Universidad de Industrial de Santander.

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