A data-driven analysis of academic publications and collaboration networks at Luiss

Amangeldinova, Kamila (A.A. 2024/2025) A data-driven analysis of academic publications and collaboration networks at Luiss. Tesi di Laurea in Big data and smart data analytics, Luiss Guido Carli, relatore Irene Finocchi, pp. 53. [Master's Degree Thesis]

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Abstract/Index

Literature review. Bibliometric analysis and co-authorship networks. Data extraction and entity resolution challenges. Methodology. Data collection process. Choosing Google Scholar as the bibliometric data source. Data extraction, cleaning and quality assessment. Data analysis and results. Institutional visibility and academic collaboration. Research performance and bibliometric metrics.

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: Morandini, Lorenza
Academic Year: 2024/2025
Session: Summer
Deposited by: Alessandro Perfetti
Date Deposited: 16 Sep 2025 08:35
Last Modified: 16 Sep 2025 08:35
URI: https://tesi.luiss.it/id/eprint/43175

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