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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Joao Tiago Aparicio, Valentina Timčenko & Costa, C. (2024). Explaining Wikipedia Page Similarity Using Network Science. In Information Systems and Technology.
Exportar Referência (IEEE) 
J. T. Aparicio et al.,  "Explaining Wikipedia Page Similarity Using Network Science", in Information Systems and Technology, 2024
Exportar BibTeX 
@incollection{aparicio2024_1722184683585,
	author = "Joao Tiago Aparicio and Valentina Timčenko and Costa, C.",
	title = "Explaining Wikipedia Page Similarity Using Network Science",
	chapter = "",
	booktitle = "Information Systems and Technology",
	year = "2024",
	volume = "",
	series = "",
	edition = "",
	publisher = "",
	address = "",
	url = "https://link.springer.com/chapter/10.1007/978-3-031-45651-0_3"
}
Exportar RIS 
TY  - CHAP
TI  - Explaining Wikipedia Page Similarity Using Network Science
T2  - Information Systems and Technology
AU  - Joao Tiago Aparicio
AU  - Valentina Timčenko
AU  - Costa, C.
PY  - 2024
SN  - 2367-3370
UR  - https://link.springer.com/chapter/10.1007/978-3-031-45651-0_3
AB  - The relationship between sciences and scientific production is often established in a very organized way, with a top-down approach. But the link between sciences is much more dynamic and organic. To analyze this connection, we use similarity between Wikipedia science pages. We used network science and cluster analysis techniques. Results presented show us the boundary scientific fields between different areas and also suggests that this network is an ultra small world.
ER  -