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Pregled bibliografske jedinice broj: 800476

Zbornik radova

Autori: Meštrović, Ana; Beliga, Slobodan; Martinčić-Ipšić, Sanda
Naslov: Network-based quantification of the scientific collaboration at the University of Rijeka
Izvornik:
Skup: 7th International Conference on Information Technologies and Information Society (ITIS2015)
Mjesto i datum: Novo mesto, Slovenija, 4-6.11.2015.
Ključne riječi: collaboration networks; coauthorship networks; scientific collaboration; scientometrics
Sažetak:
In this research we examine and quantify collaborative relations between researchers at the University of Rijeka. Today research is product of teamwork rather than of one scientist. The relations between scientists can be easily modeled by using complex networks. Therefore scientific collaboration and coauthorship networks are important to study in the field of scientometrics. A variety of techniques for the analysis of collaboration networks yield insights into its composition and might be used to quantify the scientific collaboration relationships. For the purpose of this experiment we collect the data from the Croatian Scientific Bibliography (CROSBI) which stores scientific papers published in the period from 1997 to the present. We construct networks for eight constituents of the University of Rijeka: Department of informatics, Department of Mathematics, Department of biotechnology, Faculty of Humanities and Social Sciences, Faculty of Engineering, Faculty of Civil Engineering, Faculty of Maritime Studies and Faculty of Economy. Then we examine the structure of the collaborative networks both on the global and on the local level. We compare collaboration networks of different constituents and quantify the scientific collaboration of the University constituents and research groups. Of particular interest in this experiment are centrality measures, more precisely we analyze: degree centrality, closeness centrality, betweeness centrality and eigenvector centrality. In this research we are trying to answer the question which centrality measure is the most appropriate to measure the succes of the scientific collaboration.
Vrsta sudjelovanja: Predavanje
Vrsta prezentacije u zborniku: Sažetak
Vrsta recenzije: Međunarodna recenzija
Projekt / tema: Uniri-Langnet
Izvorni jezik: ENG
Kategorija: Ostalo
Znanstvena područja:
Računarstvo,Informacijske i komunikacijske znanosti
Upisao u CROSBI: Ana Meštrović (amestrovic@inf.uniri.hr), 14. Vel. 2016. u 13:25 sati



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