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Building hybrid Scientific similarity networks using research papers and social networks.
- Source :
- Procedia Computer Science; 2017, Vol. 108, p2507-2511, 5p
- Publication Year :
- 2017
-
Abstract
- Research collaboration is very important in the modern scientific world, because it provides a wide range of opportunities, from the knowledge transfer between departments, institutions or even countries, to experimental research, where scientists also share materials and equipment. Because of that the field of building and analyzing collaboration networks grows in popularity. In this work we propose the methodology of building a hybrid Scientific similarity network based on the features obtained from two leading Scientific platforms – ResearchGate and Scopus. Experimental evaluation demonstrates good quality of the proposed approach and ability of the hybrid network to generate interconnections not distinguishable when using a single network. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 18770509
- Volume :
- 108
- Database :
- Supplemental Index
- Journal :
- Procedia Computer Science
- Publication Type :
- Academic Journal
- Accession number :
- 123528611
- Full Text :
- https://doi.org/10.1016/j.procs.2017.05.274