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Identifying institutional relationships in a geographically distributed public health system using interlinking and co-authorship methods

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Identifying institutional relationships in a geographically distributed public health system using interlinking and co-authorship methods

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dc.contributor.author Ontalba Ruipérez, José Antonio es_ES
dc.contributor.author Orduña Malea, Enrique es_ES
dc.contributor.author Alonso-Arroyo, Adolfo es_ES
dc.date.accessioned 2017-06-14T07:43:54Z
dc.date.available 2017-06-14T07:43:54Z
dc.date.issued 2016-03
dc.identifier.issn 0138-9130
dc.identifier.uri http://hdl.handle.net/10251/82816
dc.description The final publication is available at Springer via http://dx.doi.org/ 10.1007/s11192-016-1839-z es_ES
dc.description.abstract Link analysis is highly effective in detecting relationships between different institutions, relationships that are stronger the greater their geographical proximity. We therefore decided to apply an interlinking analysis to a set of geographically dispersed research entities and to compare the results with the co-authorship patterns between these institutions in order to determine how, and if, these two techniques might reveal complementary insights. We set out to study the specific sector of public health in Spain, a country with a high degree of regional autonomy. We recorded all Spanish health entities (and their corresponding URLs) that belong to, and were hyperlinked from, the national government or any of the regional governments, gathering a total of 263 URLs. After considering their suitability for web metric analysis, interlinking scores between all valid URLs were obtained. In addition, the number of co-authored articles by each pair of institutions and the total scientific output per institution were retrieved from Scopus. Both interlinking and co-authorship methods detect the existence of strength subnets of geographically distributed nodes (especially the Catalan entities) as well as their high connectivity with the main national network nodes (subnet of nodes distributed according to dependence on national government, in this case Spain). However, the resulting interlinking pattern shows a low but significant correlation (r = 0.5) with scientific co-authorship patterns. The existence of institutions that are strongly interlinked but with limited scientific collaboration (and vice versa) reveals that links within this network are not accurately reflecting existing scientific collaborations, due to inconsistent web content development. es_ES
dc.language Inglés es_ES
dc.publisher Springer Verlag Germany and Akadémiai Kiadó es_ES
dc.relation.ispartof Scientometrics es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Link analysis es_ES
dc.subject Network analysis es_ES
dc.subject Co-authorship es_ES
dc.subject Public health es_ES
dc.subject Institutional relationships es_ES
dc.subject Spain es_ES
dc.subject.classification COMUNICACION AUDIOVISUAL Y PUBLICIDAD es_ES
dc.subject.classification BIBLIOTECONOMIA Y DOCUMENTACION es_ES
dc.title Identifying institutional relationships in a geographically distributed public health system using interlinking and co-authorship methods es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s11192-016-1839-z
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Facultad de Bellas Artes - Facultat de Belles Arts es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Diseño para la Fabricación y Producción Automatizada - Institut de Disseny per a la Fabricació i Producció Automatitzada es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica es_ES
dc.description.bibliographicCitation Ontalba Ruipérez, JA.; Orduña Malea, E.; Alonso-Arroyo, A. (2016). Identifying institutional relationships in a geographically distributed public health system using interlinking and co-authorship methods. Scientometrics. 106(3):1167-1191. doi:10.1007/s11192-016-1839-z es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://link.springer.com/article/10.1007/s11192-016-1839-z es_ES
dc.description.upvformatpinicio 1167 es_ES
dc.description.upvformatpfin 1191 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 106 es_ES
dc.description.issue 3 es_ES
dc.relation.senia 295728 es_ES
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