IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v87y2011i3d10.1007_s11192-011-0360-7.html
   My bibliography  Save this article

Quantitative analysis of collaborative and mobility networks

Author

Listed:
  • Takao Furukawa

    (National Institute of Science and Technology Policy)

  • Nobuyuki Shirakawa

    (National Institute of Science and Technology Policy)

  • Kumi Okuwada

    (National Institute of Science and Technology Policy)

Abstract

This study proposes a quantitative analysis of researcher mobility (i.e. transfer from one institution to another) and collaborative networks on the basis of author background data extracted from biographical notes in scientific articles to identify connections that are not revealed via simple co-authorship analysis. Using a top-ranked journal in the field of computer vision, we create a layered network that describes various aspects of author backgrounds, demonstrating a geographical distribution of institutions. We classify networks according to various dimensions including authors, institutions and countries. The results of the quantitative analysis indicate that mobility networks extend beyond the typical collaborative networks describing institutional and international relationships. We also discuss sectoral collaboration considering the mobility networks. Our findings indicate a limitation of collaborative analysis based on bibliometric data and the importance of tracing researcher mobility within potential networks to identify the true nature of scientific collaboration.

Suggested Citation

  • Takao Furukawa & Nobuyuki Shirakawa & Kumi Okuwada, 2011. "Quantitative analysis of collaborative and mobility networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 451-466, June.
    • Handle: RePEc:spr:scient:v:87:y:2011:i:3:d:10.1007_s11192-011-0360-7
    DOI: 10.1007/s11192-011-0360-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-011-0360-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-011-0360-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Barabási, Albert-László & Albert, Réka & Jeong, Hawoong, 2000. "Scale-free characteristics of random networks: the topology of the world-wide web," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 281(1), pages 69-77.
    2. Cardillo, Alessio & Scellato, Salvatore & Latora, Vito, 2006. "A topological analysis of scientific coauthorship networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 372(2), pages 333-339.
    3. Tijssen, Robert J. W., 2001. "Global and domestic utilization of industrial relevant science: patent citation analysis of science-technology interactions and knowledge flows," Research Policy, Elsevier, vol. 30(1), pages 35-54, January.
    4. D'Este, P. & Patel, P., 2007. "University-industry linkages in the UK: What are the factors underlying the variety of interactions with industry?," Research Policy, Elsevier, vol. 36(9), pages 1295-1313, November.
    5. Leydesdorff, Loet & Dolfsma, Wilfred & Van der Panne, Gerben, 2006. "Measuring the knowledge base of an economy in terms of triple-helix relations among 'technology, organization, and territory'," Research Policy, Elsevier, vol. 35(2), pages 181-199, March.
    6. Etzkowitz, Henry & Leydesdorff, Loet, 2000. "The dynamics of innovation: from National Systems and "Mode 2" to a Triple Helix of university-industry-government relations," Research Policy, Elsevier, vol. 29(2), pages 109-123, February.
    7. Clara Calero & Renald Buter & Cecilia Cabello Valdés & Ed Noyons, 2006. "How to identify research groups using publication analysis: an example in the field of nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 66(2), pages 365-376, February.
    8. Clara Calero & Thed N. Leeuwen & Robert J. W. Tijssen, 2007. "Research cooperation within the bio-pharmaceutical industry: Network analyses of co-publications within and between firms," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(1), pages 87-99, April.
    9. Tijssen, Robert J. W., 2004. "Is the commercialisation of scientific research affecting the production of public knowledge?: Global trends in the output of corporate research articles," Research Policy, Elsevier, vol. 33(5), pages 709-733, July.
    10. Antonio Perianes-Rodríguez & Carlos Olmeda-Gómez & Félix Moya-Anegón, 2010. "Detecting, identifying and visualizing research groups in co-authorship networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 307-319, February.
    11. Barabási, A.L & Jeong, H & Néda, Z & Ravasz, E & Schubert, A & Vicsek, T, 2002. "Evolution of the social network of scientific collaborations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 311(3), pages 590-614.
    12. Gay, Brigitte & Dousset, Bernard, 2005. "Innovation and network structural dynamics: Study of the alliance network of a major sector of the biotechnology industry," Research Policy, Elsevier, vol. 34(10), pages 1457-1475, December.
    13. Bozeman, Barry & Corley, Elizabeth, 2004. "Scientists' collaboration strategies: implications for scientific and technical human capital," Research Policy, Elsevier, vol. 33(4), pages 599-616, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Robinson-Garcia, Nicolás & Sugimoto, Cassidy R. & Murray, Dakota & Yegros-Yegros, Alfredo & Larivière, Vincent & Costas, Rodrigo, 2019. "The many faces of mobility: Using bibliometric data to measure the movement of scientists," Journal of Informetrics, Elsevier, vol. 13(1), pages 50-63.
    2. Scellato, Giuseppe & Franzoni, Chiara & Stephan, Paula, 2015. "Migrant scientists and international networks," Research Policy, Elsevier, vol. 44(1), pages 108-120.
    3. 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.
    4. A. Fernández & E. Ferrándiz & M. D. León, 2016. "Proximity dimensions and scientific collaboration among academic institutions in Europe: The closer, the better?," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1073-1092, March.
    5. Liu, Meijun & Hu, Xiao, 2022. "Movers’ advantages: The effect of mobility on scientists’ productivity and collaboration," Journal of Informetrics, Elsevier, vol. 16(3).
    6. Liming Liang & Lixin Chen & Yishan Wu & Junpeng Yuan, 2012. "The role of Chinese universities in enterprise–university research collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 253-269, January.
    7. Hirotaka Kawashima & Hiroyuki Tomizawa, 2015. "Accuracy evaluation of Scopus Author ID based on the largest funding database in Japan," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(3), pages 1061-1071, June.
    8. Takao Furukawa & Nobuyuki Shirakawa & Kumi Okuwada & Kazuya Sasaki, 2012. "International mobility of researchers in robotics, computer vision and electron devices: A quantitative and comparative analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(1), pages 185-202, April.
    9. Yasuhiro Yamashita & Daisuke Yoshinaga, 2014. "Influence of researchers’ international mobilities on publication: a comparison of highly cited and uncited papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1475-1489, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    2. Ana Fernández & Esther Ferrándiz & M. Dolores León, 2021. "Are organizational and economic proximity driving factors of scientific collaboration? Evidence from Spanish universities, 2001–2010," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 579-602, January.
    3. Hugo Confraria & Fernando Vargas, 2019. "Scientific systems in Latin America: performance, networks, and collaborations with industry," The Journal of Technology Transfer, Springer, vol. 44(3), pages 874-915, June.
    4. Duk Hee Lee & Il Won Seo & Ho Chull Choe & Hee Dae Kim, 2012. "Collaboration network patterns and research performance: the case of Korean public research institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 925-942, June.
    5. Paul Jackson & Reza Kiani Mavi & Yuliani Suseno & Craig Standing, 2018. "University–industry collaboration within the triple helix of innovation: The importance of mutuality," Science and Public Policy, Oxford University Press, vol. 45(4), pages 553-564.
    6. Carusi, Chiara & Bianchi, Giuseppe, 2019. "Scientific community detection via bipartite scholar/journal graph co-clustering," Journal of Informetrics, Elsevier, vol. 13(1), pages 354-386.
    7. Liming Liang & Lixin Chen & Yishan Wu & Junpeng Yuan, 2012. "The role of Chinese universities in enterprise–university research collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 253-269, January.
    8. Isabel Maria Bodas Freitas & Aldo Geuna & Federica Rossi, 2011. "University–Industry Interactions: The Unresolved Puzzle," Chapters, in: Cristiano Antonelli (ed.), Handbook on the Economic Complexity of Technological Change, chapter 11, Edward Elgar Publishing.
    9. Wen Chi Hung, 2012. "Measuring the use of public research in firm R&D in the Hsinchu Science Park," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(1), pages 63-73, July.
    10. Breschi, Stefano & Catalini, Christian, 2010. "Tracing the links between science and technology: An exploratory analysis of scientists' and inventors' networks," Research Policy, Elsevier, vol. 39(1), pages 14-26, February.
    11. Cantner, Uwe & Rake, Bastian, 2014. "International research networks in pharmaceuticals: Structure and dynamics," Research Policy, Elsevier, vol. 43(2), pages 333-348.
    12. Klenk, Nicole L. & Hickey, Gordon M., 2013. "How can formal research networks produce more socially robust forest science?," Forest Policy and Economics, Elsevier, vol. 37(C), pages 44-56.
    13. Susan Biancani & Daniel McFarland, 2013. "Social Networks Research in Higher Education," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 4, pages 85-126.
    14. Quentin Plantec & Pascal Le Masson & Benoît Weil, 2022. "Nobel laurates and the role of the industry in the emergence of new scientific breakthroughs," Post-Print hal-03727378, HAL.
    15. Dolores Modic & Borut Lužar & Tohru Yoshioka-Kobayashi, 2023. "Structure of university licensing networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(2), pages 901-932, February.
    16. De Fuentes, Claudia & Dutrénit, Gabriela, 2012. "Best channels of academia–industry interaction for long-term benefit," Research Policy, Elsevier, vol. 41(9), pages 1666-1682.
    17. Marian-Gabriel Hâncean & Matjaž Perc & Lazăr Vlăsceanu, 2014. "Fragmented Romanian Sociology: Growth and Structure of the Collaboration Network," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-9, November.
    18. Roberto Iorio & Sandrine Labory & Francesco Rentocchini, 2014. "Academics’ Motivations and Depth and Breadth of Knowledge Transfer Activities," Working Papers 1401, c.MET-05 - Centro Interuniversitario di Economia Applicata alle Politiche per L'industria, lo Sviluppo locale e l'Internazionalizzazione.
    19. Federico Caviggioli & Alessandra Colombelli & Antonio De Marco & Giuseppe Scellato & Elisa Ughetto, 2023. "Co-evolution patterns of university patenting and technological specialization in European regions," The Journal of Technology Transfer, Springer, vol. 48(1), pages 216-239, February.
    20. Mehdi Rhaiem & Nabil Amara, 2020. "Determinants of research efficiency in Canadian business schools: evidence from scholar-level data," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 53-99, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:87:y:2011:i:3:d:10.1007_s11192-011-0360-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.