Bollati, Edoardo (A.A. 2022/2023) Academic collaboration networks: a graph analytics approach. Tesi di Laurea in Algorithmis, Luiss Guido Carli, relatore Irene Finocchi, pp. 37. [Bachelor's Degree Thesis]

PDF (Full text) Restricted to Registered users only Download (743kB) | Request a copy

Abstract/Index

Data collection and network construction. The role of data in modern research. Interpreting collaboration networks in research. Harnessing semantic scholar API for co-author data. Dissecting the get_coauthors function. Co-author weights and indices: a closer look. NetworkX: creating ego network visualisations. Identifying best co-authors. Graph representation. Software design. Importance of the design and justification for structure. Testing and evaluations. Testing strategy and environment. Performance evaluation. Results and interpretation. Case studies. Implementations. Implementing a database. Enhancing data visualization. Expanding the scope of the software. User interface improvements. Performance optimisation. Incorporation of machine learning.

References

Bibliografia: pp. 36-37.

Thesis Type:	Bachelor's Degree Thesis
Institution:	Luiss Guido Carli
Degree Program:	Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18)
Chair:	Algorithmis
Thesis Supervisor:	Finocchi, Irene
Academic Year:	2022/2023
Session:	Summer
Deposited by:	Alessandro Perfetti
Date Deposited:	31 Oct 2023 16:47
Last Modified:	31 Oct 2023 16:47
URI:	https://tesi.luiss.it/id/eprint/36836

Downloads

Repository Staff Only

View Item