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

Author

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  • José-Antonio Ontalba-Ruipérez

    (Polytechnic University of Valencia (UPV))

  • Enrique Orduna-Malea

    (Polytechnic University of Valencia (UPV))

  • Adolfo Alonso-Arroyo

    (University of Valencia (UV))

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.

Suggested Citation

  • José-Antonio Ontalba-Ruipérez & Enrique Orduna-Malea & Adolfo Alonso-Arroyo, 2016. "Identifying institutional relationships in a geographically distributed public health system using interlinking and co-authorship methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1167-1191, March.
    • Handle: RePEc:spr:scient:v:106:y:2016:i:3:d:10.1007_s11192-016-1839-z
    DOI: 10.1007/s11192-016-1839-z
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    as
    1. Gohar Feroz Khan & Han Woo Park, 2011. "Measuring the triple helix on the web: Longitudinal trends in the university‐industry‐government relationship in Korea," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(12), pages 2443-2455, December.
    2. Pardeep Sud & Mike Thelwall, 2014. "Linked title mentions: a new automated link search candidate," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1831-1849, December.
    3. Gohar Feroz Khan & Han Woo Park, 2011. "Measuring the triple helix on the web: Longitudinal trends in the university-industry-government relationship in Korea," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(12), pages 2443-2455, December.
    4. Liwen Vaughan & Mike Thelwall, 2003. "Scholarly use of the Web: What are the key inducers of links to journal Web sites?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(1), pages 29-38, January.
    5. George Barnett & Han Park, 2014. "Examining the international internet using multiple measures: new methods for measuring the communication base of globalized cyberspace," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(1), pages 563-575, January.
    6. Liwen Vaughan, 2006. "Visualizing linguistic and cultural differences using Web co‐link data," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(9), pages 1178-1193, July.
    7. Kim Holmberg, 2010. "Co-inlinking to a municipal Web space: a webometric and content analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(3), pages 851-862, June.
    8. Mike Thelwall & Rong Tang, 2003. "Disciplinary and linguistic considerations for academic Web linking: An exploratory hyperlink mediated study with Mainland China and Taiwan," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(1), pages 155-181, September.
    9. Liwen Vaughan & Guozhu Wu, 2004. "Links to commercial websites as a source of business information," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(3), pages 487-496, August.
    10. Gaston Heimeriks & Marianne Hörlesberger & Peter Van Den Besselaar, 2003. "Mapping communication and collaboration in heterogeneous research networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(2), pages 391-413, October.
    11. Enrique Orduna-Malea & Selenay Aytac, 2015. "Revealing the online network between university and industry: the case of Turkey," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1849-1866, December.
    12. David Stuart & Mike Thelwall, 2006. "Investigating triple helix relationships using URL citations: a case study of the UK West Midlands automobile industry," Research Evaluation, Oxford University Press, vol. 15(2), pages 97-106, August.
    13. Liwen Vaughan & Justin You, 2006. "Comparing business competition positions based on Web co-link data: The global market vs. the Chinese market," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(3), pages 611-628, September.
    14. Mike Thelwall, 2001. "Extracting macroscopic information from Web links," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 52(13), pages 1157-1168.
    15. Seeber, Marco & Lepori, Benedetto & Lomi, Alessandro & Aguillo, Isidro & Barberio, Vitaliano, 2012. "Factors affecting web links between European higher education institutions," Journal of Informetrics, Elsevier, vol. 6(3), pages 435-447.
    16. Mike Thelwall, 2006. "Interpreting social science link analysis research: A theoretical framework," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(1), pages 60-68, January.
    17. Mike Thelwall & Rong Tang & Liz Price, 2003. "Linguistic patterns of academic Web use in Western Europe," Scientometrics, Springer;Akadémiai Kiadó, vol. 56(3), pages 417-432, March.
    18. Enrique Orduña-Malea & Daniel Torres-Salinas & Emilio Delgado López-Cózar, 2015. "Hyperlinks embedded in twitter as a proxy for total external in-links to international university websites," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(7), pages 1447-1462, July.
    19. Kim Holmberg & Mike Thelwall, 2009. "Local government web sites in Finland: A geographic and webometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(1), pages 157-169, April.
    20. Esteban Romero-Frías & Liwen Vaughan, 2010. "European political trends viewed through patterns of Web linking," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(10), pages 2109-2121, October.
    21. Isidro F. Aguillo & Begoña Granadino & José L. Ortega & José A. Prieto, 2006. "Scientific research activity and communication measured with cybermetrics indicators," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(10), pages 1296-1302, August.
    22. Mike Thelwall & Pardeep Sud, 2011. "A comparison of methods for collecting web citation data for academic organizations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(8), pages 1488-1497, August.
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