Analysis of the Formation of Scientific Communities in the Journal Research and Education in Nursing (2010 - 2020) and its Disciplinary Influence: an Approach from Bibliometric Analysis, Network Analysis, and Natural Language Processing
DOI:
https://doi.org/10.17533/udea.iee.v42n2e12Keywords:
research and education in nursing, academic impact, bibliometric metrics, social network analysis, scientific collaboration, natural language processingAbstract
Objectives. This work sought to identify the academic communities that have shown interest and participation in the Journal Research and Education in Nursing and analyze the scientific impact generated by said journal.
Methods. A bibliometric analysis was carried out, as well as social network analysis and techniques of natural language processing to conduct the research. The data was gathered and analyzed during a specific study period, covering from 2010 - 2020, for articles published in the journal, and 2010 - 2022, for articles that cited the journal within Scopus. These methods permitted performing an exhaustive evaluation of the journal’s influence and reach in diverse academic and geographic contexts.
Results. During the analysis, it was noted that the journal Research and Education in Nursing has had significant influence in academic and scientific communities, both nationally and internationally. Collaboration networks were detected among diverse institutions and countries, which indicates active interaction in the field of nursing research. In addition, trends and emerging patterns were identified in this field, providing a more complete view of the discipline’s evolution.
Conclusion. Based on the results obtained, it is concluded that the journal Research and Education in Nursing has played un fundamental role in disseminating knowledge and promoting research in nursing. The combination of Bibliometric metrics, social network analysis, and natural language processing permitted utmost comprehension of its impact in the scientific and academic community globally.
Downloads
References
1 Wilches-Visbal JH, Castillo-Pedraza MC. Indicadores bibliométricos: impacto y altmetrics para una evaluación amplia y equitativa de las revistas científicas de Colombia. MedUNAB. 2022; 25(1):5-8.
2 Vélez Ramírez M, Ochoa Gutiérrez J, Suárez Tamayo M. State and Evolution of the Investigación y Educación en Enfermería Journal from a Metric Analysis. Investigación y Educación en Enfermería. 2021; 39(3):e02.
3 Baiget T. Manual SCImago de revistas científicas. Creación, gestión y publicación [Internet]. Ediciones Profesionales de la Información SL; 2020 [cited 01 March 2024]. Available from: https://doi.org/10.3145/manual
4 Duchacek ID. The International Dimension of Subnational Self-Government. Publius. 1984; 14(4):5-31.
5 Cornago N. Exploring the global dimensions of paradiplomacy functional and normative dynamics in the global spreading of subnational involvement in international affairs [Internet]. Ottawa: Forum of Federations; 2001 [cited 01 March 2024]. Available from: https://forumfed.org/document/exploring-the-global-dimensions-of-paradiplomacy/
6 Delgado López-Cozar E, Torres-Salinas D, Jiménez Contreras E, Ruiz Pérez R. Análisis bibliométrico y de redes sociales aplicado a las tesis bibliométricas defendidas en España (1976-2002): temas, escuelas científicas y redes académicas. Revista Española de Documentación Científica. 2006; 29(4):493-524.
7 Newman MEJ. Co-authorship networks and patterns of scientific collaboration. Proceedings of the National Academy of Sciences. 2004; 101(suppl_1):5200-5.
8 Blondel VD, Guillaume JL, Lambiotte R, Lefebvre E. Fast unfolding of communities in large networks. J Stat Mech. 2008; 2008(10):P10008.
9 Newman M, Girvan M. Finding and Evaluating Community Structure in Networks. Physical review E, Statistical, Nonlinear, and Soft Matter Physics. 2004; 69:026113.
10 Luhmann N. La forma escritura. Estudios Sociológicos de El Colegio de México. 2002; 20(58):3-21.
11 Zeraoui Z. Para entender la paradiplomacia. Desafíos. 2016 ;28(1):15-34.
12 Morales Hernández RC. Reconocimiento de tendencias en un campo de investigación en publicaciones científicas y su clasificación a los objetivos de desarrollo sostenible aplicando técnicas de procesamiento de lenguaje natural. Universidad Loyola; 2023.
13 Brigadir I, Greene D, Cunningham P. Analyzing Discourse Communities with Distributional Semantic Models. In Oxford; 2015.
14 Zhao W, Luo J, Fan T, Ren Y, Xia Y. Analyzing and visualizing scientific research collaboration network with core node evaluation and community detection based on network embedding. Pattern Recognition Letters. 2021; 144:54-60.
Downloads
Published
Versions
- 2024-08-17 (2)
- 2024-07-22 (1)
How to Cite
Issue
Section
License
Copyright (c) 2024 Investigación y Educación en Enfermería
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Derechos de propiedad / Direitos de Propriedade
English: If the article is accepted for publication, all copyright will be of exclusive property of Investigación y Educación en Enfermería. The text and the graphics included in the publication are exclusive responsibility of the authors and not necessarily reflect the thought of the Editorial Committee.
Español: Si el artículo es aprobado para publicación, todos los derechos son de propiedad de Investigación y Educación en Enfermería. El texto y las gráficas incluidas en la publicación son de exclusiva responsabilidad de los autores y no necesariamente refleja el pensamiento del Comité Editorial.
Português: Se o artigo for aceito para publicação, todos os direitos autorais serão de propriedade exclusiva de Investigación y Educación en Enfermería. O texto e os gráficos incluídos na publicação são de responsabilidade exclusiva dos autores e não refletem necessariamente o pensamento do Comitê Editorial.
