Comparative analysis of university-governmententerprise co-authorship networks in three scientific domains in the region of Madrid

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dc.contributor.author Olmeda-Gómez, Carlos
dc.contributor.author Perianes-Rodríguez, Antonio
dc.contributor.author Ovalle-Perandones, María Antonia
dc.contributor.author Moya-Anegón, Félix
dc.date.accessioned 2011-01-19T08:42:40Z
dc.date.available 2011-01-19T08:42:40Z
dc.date.issued 2008
dc.identifier.bibliographicCitation Information Research, 2008, vol. 13, nº 3.
dc.identifier.issn 1368-1613
dc.identifier.uri http://hdl.handle.net/10016/10013
dc.description.abstract Introduction: In an economy geared to innovation and competitiveness in research and development activities, inter-relationships between the university, private enterprise and government are of considerable interest. Networking constitutes a priority strategy to attain this strategic objective and a tool in knowledge-based economies. Method: Drawing from a full inventory of co-authored scientific articles, collaborating networks are defined and analysed with the social network analysis method, using Pajek software and graphed with the Kamada-Kawai algorithm for visualization. Analysis: Scientific production involving intraregional collaboration in the Madrid region is analysed across three subject categories. The data used were taken from the Web of Science for the years 1995-2003. The main indicators of social networking obtained were: density average degree, normalized degree and degree centralization, betweenness centralization, closeness centralization and clustering coefficient. Results: Networking led to a moderate rise in the number of links and participating actors, with more Spanish companies and multi-national subsidiaries in the second period. The largest number of links was recorded for public universities located in the Community of Madrid. Conclusions: The data resulting from the social network analysis conducted provided insight into the structural characteristics of the networks generated and their evolution. The visualization methodology used proved to be highly informative for identifying not only the main actors, but clusters and components as well. The analysis afforded a useful perspective for understanding the dynamics of collaborating networks.
dc.description.sponsorship Financiado por Comunidad de Madrid, Consejería de Educación, Dirección General de Universidades e Investigación. 06/HSE/0166/2004.
dc.format.mimetype application/octet-stream
dc.format.mimetype application/octet-stream
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher InformationR.net
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.title Comparative analysis of university-governmententerprise co-authorship networks in three scientific domains in the region of Madrid
dc.type article
dc.description.status Publicado
dc.relation.publisherversion http://informationr.net/ir/13-3/paper352.html
dc.subject.eciencia Biblioteconomía y Documentación
dc.rights.accessRights openAccess
dc.type.version publishedVersion
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