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Mapping communication and collaboration in heterogeneous research networks

Author

Listed:
  • Gaston Heimeriks

    (NIWI-KNAW, Royal Netherlands Academy of Arts and Sciences)

  • Marianne Hörlesberger

    (ARCS, Austrian Research Centers)

  • Peter Van Den Besselaar

    (NIWI-KNAW, Royal Netherlands Academy of Arts and Sciences)

Abstract

The aim of this mainly methodological paper is to present an approach for researching the triple helix of university-industry-government relations as a heterogeneous and multi-layered communication network. The layers included are: the formal scholarly communication in academic journals, the communication network based on project collaborations, and finally the communication of information over the 'virtual' network of web links. The approach is applied on typical 'Mode 2' fields such as biotechnology, while using a variety of data sources. We present some of the initial findings, which indicate the different structures and functions of the three layers of communication.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:scient:v:58:y:2003:i:2:d:10.1023_a:1026296812830
    DOI: 10.1023/A:1026296812830
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    References listed on IDEAS

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    1. 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.
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    Cited by:

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    5. Andjelković, Miroslav & Tadić, Bosiljka & Maletić, Slobodan & Rajković, Milan, 2015. "Hierarchical sequencing of online social graphs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 582-595.
    6. Luis Antonio Orozco Castro, 2015. "Diversidad y heterogeneidad en redes de colaboración científica. Un estudio de las escuelas de administración de América Latina," Books, Universidad Externado de Colombia, Facultad de Administración de Empresas, edition 1, number 44, August.
    7. Martin Meyer & Kevin Grant & Piera Morlacchi & Dagmara Weckowska, 2014. "Triple Helix indicators as an emergent area of enquiry: a bibliometric perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 151-174, April.
    8. Heimeriks, Gaston & van den Besselaar, Peter & Frenken, Koen, 2008. "Digital disciplinary differences: An analysis of computer-mediated science and 'Mode 2' knowledge production," Research Policy, Elsevier, vol. 37(9), pages 1602-1615, October.
    9. Pamela Lang & Fábio C. Gouveia & Jacqueline Leta, 2010. "Site co-link analysis applied to small networks: a new methodological approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 157-166, April.
    10. Mike Thelwall & Alesia Zuccala, 2008. "A university-centred European Union link analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(3), pages 407-420, June.
    11. 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.
    12. Alireza Abbasi & Jorn Altmann, 2010. "A Social Network System for Analyzing Publication Activities of Researchers," TEMEP Discussion Papers 201058, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Apr 2010.
    13. Canzler, Weert & Wentland, Alexander & Simon, Dagmar, 2011. "Wie entstehen neue Innovationsfelder? Vergleich der Formierungs- und Formungsprozesse in der Biotechnologie und Elektromobilität," Discussion Papers, Research Group Science Policy Studies SP III 2011-601, WZB Berlin Social Science Center.
    14. Bo Yang & Ying Sun, 2013. "An exploration of link-based knowledge map in academic web space," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 239-253, July.
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    16. van Eck, N.J.P. & Waltman, L., 2009. "How to Normalize Co-Occurrence Data? An Analysis of Some Well-Known Similarity Measures," ERIM Report Series Research in Management ERS-2009-001-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    17. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    18. Maria Karaulova & Maria Nedeva & Duncan A. Thomas, 2020. "Mapping research fields using co-nomination: the case of hyper-authorship heavy flavour physics," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2229-2249, September.
    19. Jose Luis Ortega & Isidro Aguillo & Viv Cothey & Andrea Scharnhorst, 2008. "Maps of the academic web in the European Higher Education Area — an exploration of visual web indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(2), pages 295-308, February.

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