Academic Journal
Cluster algorithm method for profile analysis of scientific researchers ; Método de algoritmo de clúster para el análisis del perfil de investigadores científicos
| العنوان: | Cluster algorithm method for profile analysis of scientific researchers ; Método de algoritmo de clúster para el análisis del perfil de investigadores científicos |
|---|---|
| المؤلفون: | Rodríguez Bárcenas, Gustavo |
| المصدر: | e-Ciencias de la Información; Volume 12, issue 2: july-december 2022 ; e-Ciencias de la Información; Volumen 12, número 2: julio-diciembre 2022 ; 1659-4142 |
| بيانات النشر: | Universidad de Costa Rica |
| سنة النشر: | 2022 |
| المجموعة: | Portal de revistas académicas de la Universidad de Costa Rica |
| مصطلحات موضوعية: | cluster analysis, user profiles, vector space model, análisis de conglomerados, perfiles de usuario, modelo de espacio vectorial |
| الوصف: | The increase in scientific production makes it a challenge to identify particular patterns and traits that characterize researchers. Establishing levels of compatibility and similarity between actors in a scientific research context from their profiles requires a rapid and appropriate process. The objective of this article is to evaluate the levels of similarity, Euclidean distance and compatibility between vectors of researchers, based on clustering algorithms, multidimensional scaling, principles of the vector-space model and attributes of their scientific profiles, considering the terminologies addressed in their scientific production. Theoretical and empirical methods were used, including text mining techniques and tools. The application of the procedure in the Advanced Energy and Technology Study Center from Cuba and the Cotopaxi Technical University from Ecuador, evidenced its effectiveness. As a result, it was possible to identify professionals with higher levels of coincidence in areas and lines of research, which favors the establishment of Collective Communities of Knowledge; it was possible to demonstrate that the methods used can be integrated to ICT, resulting in obtaining perceptual relationships between researchers and expressing the groups formed from clusters of observations in each subcategory and knowledge domains of the two case studies analyzed. ; El aumento de la producción científica convierte en un desafío la tarea de identificar patrones y rasgos particulares que caractericen a los investigadores. Lograr establecer niveles de compatibilidad y similaridad entre actores en un contexto de investigación científica a partir de sus perfiles requiere de un proceso rápido y apropiado. El objetivo de este artículo es evaluar los niveles de similaridad, distancia euclidiana y compatibilidad entre vectores de investigadores, a partir de algoritmos de agrupamiento, escalamiento multidimensional, principios del modelo espacio-vectorial y atributos de sus perfiles científicos, considerando las ... |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf; text/html; application/zip; text/xml |
| اللغة: | Spanish; Castilian |
| Relation: | https://revistas.ucr.ac.cr/index.php/eciencias/article/view/50456/51610; https://revistas.ucr.ac.cr/index.php/eciencias/article/view/50456/51644; https://revistas.ucr.ac.cr/index.php/eciencias/article/view/50456/51649; https://revistas.ucr.ac.cr/index.php/eciencias/article/view/50456/51651; https://revistas.ucr.ac.cr/index.php/eciencias/article/view/50456 |
| DOI: | 10.15517/eci.v12i2.50456 |
| الاتاحة: | https://revistas.ucr.ac.cr/index.php/eciencias/article/view/50456 https://doi.org/10.15517/eci.v12i2.50456 |
| Rights: | Derechos de autor 2022 Gustavo Rodríguez Bárcenas |
| رقم الانضمام: | edsbas.4BD84FC3 |
| قاعدة البيانات: | BASE |
| DOI: | 10.15517/eci.v12i2.50456 |
|---|