Data-driven analytics of scientific publications for journal rating and field characterization
Treshchev, Dimitri (A.A. 2024/2025) Data-driven analytics of scientific publications for journal rating and field characterization. Tesi di Laurea in Big data and smart data analytics, Luiss Guido Carli, relatore Irene Finocchi, pp. 55. [Master's Degree Thesis]
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Abstract/Index
Literature review. Data and preprocessing. Definition of subject area and year interval. Data collection and processing. Methodology. Sampling strategy and methodology review. Coverage by percent. Jaccard similarity between subject categories and area. Subject similarity network (Jaccard overlap). Year-by-year dynamics. Cross-area comparison. Analysis of coverage between area and subjects. Year-by-year analysis. Cross-area analysis.
References
Bibliografia: pp. 47-48.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Data Science e Management (LM-91) |
| Chair: | Big data and smart data analytics |
| Thesis Supervisor: | Finocchi, Irene |
| Thesis Co-Supervisor: | Martino, Alessio |
| Academic Year: | 2024/2025 |
| Session: | Extraordinary |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 13 Jul 2026 10:45 |
| Last Modified: | 13 Jul 2026 10:45 |
| URI: | https://tesi.luiss.it/id/eprint/46333 |
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