Resumo

BELLO LARA, Rafael. Static analysis of the scientific collaboration network in the Cuban Journal of Computer Science. Rev cuba cienc informat [online]. 2018, vol.12, n.1, pp.220-232. ISSN 2227-1899.

The way in which science is currently done goes beyond the borders between the countries, which has made it necessary to analyze the different publications (people, institutions, countries), how much they produce, how used they are produced (citations), how researchers or institutions (networks) collaborate. Knowing this information allows the funders to locate the researchers or institutions that have the highest number of publications or better quality of them, since they are candidates to receive more funding, as well as to know which are the networks or collaboration communities to stimulate them. or generate new areas of collaboration. The Cuban Journal of Computer Science contains articles by researchers from the country and in many cases foreign researchers. This paper shows a static analysis of some of the components of the scientific collaboration network formed by authors of articles in said journal, an aggregation operator is proposed that combines the advantages of the operator D-OWA and WA in the calculation of measurement of compound centrality. The result of this analysis shows the most important node (author) in the network from the measure of applied centrality and the network is visualized in scales of colors according to the importance of the nodes.

Palavras-chave : static analysis; aggregation operator; centrality measures; scientific collaboration network.

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