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| Format: | Preprint |
| Published: |
2025
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| Online Access: | https://arxiv.org/abs/2502.12682 |
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| _version_ | 1866916619297488896 |
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| author | Gálvez, Carmen |
| author_facet | Gálvez, Carmen |
| contents | In Social Network Analysis (SNA), k-core decomposition is used to detect hierarchical shells in networks. The application of the K-core decomposition to a network of keywords allows us to represent the conceptual structure of a research field. The objective of this work was to propose the application of k-core decomposition to show the evolution of the conceptual structure of the Altmetrics research field. The methodology was developed in several phases: data collection, keyword selection, elaboration of a keyword co-occurrence matrix, generation of a keyword network, k-core decomposition and visualization of the hierarchical structure. The result was the detection of five differentiated shells. A core shell with basic, densely interconnected concepts that formed the knowledge base of the field. An intermediate shell with mediating concepts that showed the evolution of knowledge in the field. A lateral shell with concepts that indicated the specialization of the research field. A border shell with peripheral and isolated concepts, which represented the conceptual fronts in development. In conclusion, the hierarchical decomposition of the keyword network achieved a deeper understanding of the conceptual structure of the research field |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_12682 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | K-núcleo: Una herramienta para detectar la estructura conceptual de los campos de investigación. El caso práctico de la Altmetría Gálvez, Carmen Methodology Social and Information Networks Physics and Society In Social Network Analysis (SNA), k-core decomposition is used to detect hierarchical shells in networks. The application of the K-core decomposition to a network of keywords allows us to represent the conceptual structure of a research field. The objective of this work was to propose the application of k-core decomposition to show the evolution of the conceptual structure of the Altmetrics research field. The methodology was developed in several phases: data collection, keyword selection, elaboration of a keyword co-occurrence matrix, generation of a keyword network, k-core decomposition and visualization of the hierarchical structure. The result was the detection of five differentiated shells. A core shell with basic, densely interconnected concepts that formed the knowledge base of the field. An intermediate shell with mediating concepts that showed the evolution of knowledge in the field. A lateral shell with concepts that indicated the specialization of the research field. A border shell with peripheral and isolated concepts, which represented the conceptual fronts in development. In conclusion, the hierarchical decomposition of the keyword network achieved a deeper understanding of the conceptual structure of the research field |
| title | K-núcleo: Una herramienta para detectar la estructura conceptual de los campos de investigación. El caso práctico de la Altmetría |
| topic | Methodology Social and Information Networks Physics and Society |
| url | https://arxiv.org/abs/2502.12682 |