Abstract
Collaboration is an integral part of modern scientific research. It is hard to imagine any modern scientific endeavor that does not involve a group of people. However, collaboration is frequently constrained to close partners or proximal groups. Finding new potential partners with whom to exchange ideas is an important step in establishing new working groups. We propose to use automated system to recommend potential collaborators, and present a system for this purpose. One of the problems involved is establishing criteria to select these potential partners. We address this issue by (1) automatically constructing users profiles from publicly available data to establish areas of expertise and (2) employing an analysis of users’ networks to select partners with the potential for fruitful relationships.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Silva, E.L.: Rede científica e a construção do conhecimento. Informação e Sociedade: Estudos 12(1), 120–148 (2002)
Balancieri, R.: The analysis of scientific collaboration networks under new information and communication technologies: a study of the Lattes Platform. Ciência da Informação 34(1), 64–77 (2005) (in Portuguese)
Maia, M.F.S., Caregnato, S.E.: Co-authorship as an indicator of scientific collaboration networks. Perspectivas em Ciência da Informação 13(2), 18–31 (2008) (in Portuguese)
Katz, J.S., Martin, B.R.: What is research collaboration? Research Policy 26, 1–18 (1997)
Sonnenwald, D.H.: Scientific Collaboration. Annual Review of Information Science and Technology 42(1), 643–681 (2008)
Vanz, S.A.S., Stumpf, I.R.C.: Scientific Collaboration: conceptual and theoretical review. Perspectivas em Ciência da Informação 15(2), 42–55 (2010) (in Portuguese)
Ziman, J.M.: Public Knowledge, p. 164. Itatiaia, Ed. da USP, Belo Horizonte, São Paulo (1979) (in Portuguese)
COLLNET - Collaboration Network, http://www.collnet.de/ (last accessed February 2014)
Cazella, S.C., Nunes, M.A.S.N., Reategui, E.B.: Science of Opinion: state of the art of recommender systems. In: XXX Congresso da SBC Jornada de Atualização da Informática, Porto Alegre, Brasil, vol. 52, p. 146 (2010) (in Portuguese)
Motta, C.L.R., Garcia, A.C.B., Vivacqua, A.S., Santoro, F.M., Sampaio, J.O.: Reccomendation Systems. In: Pimentel, M., Fuks, H. (eds.) Sistemas Colaborativos, p. 416. Elsevier, Rio de Janeiro (2011) (in Portuguese)
Terveen, L., McDonald, D.W.: Social Matching: A Framework and Research Agenda. ACM Transactions on Computer Human Interaction 12(3), 401–434 (2005)
Olson, G.M., Olson, J.S.: Distance Matters. Journal of Human Computer Interaction 15(2) (September 2000)
Coleta de dados CAPES, http://www.capes.gov.br/avaliacao/coleta-de-dados/ (last accessed February 2014)
Plataforma LATTES, http://lattes.cnpq.br (last acessed November 2011)
DBLP - Digital Bibliography and Library Project, http://www.informatik.unitrier.de/~ley/db/index.html (last accessed May 2014)
Granovetter, M.S.: The Strength of Weak Ties. The American Journal of Sociology 78(6), 1360–1380 (1973)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Alves, T.P.V., Borges, M.R.S., Vivacqua, A.S. (2014). An Environment to Foster Scientific Collaborations. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2014. Lecture Notes in Computer Science, vol 8683. Springer, Cham. https://doi.org/10.1007/978-3-319-10831-5_21
Download citation
DOI: https://doi.org/10.1007/978-3-319-10831-5_21
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10830-8
Online ISBN: 978-3-319-10831-5
eBook Packages: Computer ScienceComputer Science (R0)