IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v108y2016i2d10.1007_s11192-016-1976-4.html
   My bibliography  Save this article

Competitive project funding and dynamic complex networks: evidence from Projects of National Interest (PRIN)

Author

Listed:
  • Antonio Zinilli

    (Sapienza University of Rome
    IRCRES CNR)

Abstract

This paper aims to study the collaboration among researchers in a specific Italian program funding, the Projects of National Interest (PRIN), which supports the academic research. The paper uses two approaches to study the dynamic complex networks: first it identifies the observed distribution of links among researchers in the four areas of interest (chemistry, physics, economics and sociology) through distribution models, then it uses a stochastic model to understand how the links change over time. The analysis is based on large and unique dataset on 4322 researchers from 98 universities and research institutes that have been selected for PRIN allocation from 2000 to 2011. The originality of this work is that we have studied a competitive funding schemes through dynamic network analysis techniques.

Suggested Citation

  • Antonio Zinilli, 2016. "Competitive project funding and dynamic complex networks: evidence from Projects of National Interest (PRIN)," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 633-652, August.
  • Handle: RePEc:spr:scient:v:108:y:2016:i:2:d:10.1007_s11192-016-1976-4
    DOI: 10.1007/s11192-016-1976-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-016-1976-4
    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/s11192-016-1976-4?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. Philip M. Davis, 2008. "Eigenfactor: Does the principle of repeated improvement result in better estimates than raw citation counts?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(13), pages 2186-2188, November.
    2. Mark Huisman & Tom A. B. Snijders, 2003. "Statistical Analysis of Longitudinal Network Data With Changing Composition," Sociological Methods & Research, , vol. 32(2), pages 253-287, November.
    3. Ron Boschma & Koen Frenken, 2010. "The Spatial Evolution of Innovation Networks: A Proximity Perspective," Chapters, in: Ron Boschma & Ron Martin (ed.), The Handbook of Evolutionary Economic Geography, chapter 5, Edward Elgar Publishing.
    4. Sinha, Sitabhra, 2006. "Evidence for power-law tail of the wealth distribution in India," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 359(C), pages 555-562.
    5. Nooteboom, Bart & Van Haverbeke, Wim & Duysters, Geert & Gilsing, Victor & van den Oord, Ad, 2007. "Optimal cognitive distance and absorptive capacity," Research Policy, Elsevier, vol. 36(7), pages 1016-1034, September.
    6. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    7. Bharat N. Anand & Tarun Khanna, 2000. "Do firms learn to create value? The case of alliances," Strategic Management Journal, Wiley Blackwell, vol. 21(3), pages 295-315, March.
    8. Donald Deb. Beaver, 2001. "Reflections on Scientific Collaboration (and its study): Past, Present, and Future," Scientometrics, Springer;Akadémiai Kiadó, vol. 52(3), pages 365-377, November.
    9. Grit Laudel, 2002. "What do we measure by co-authorships?," Research Evaluation, Oxford University Press, vol. 11(1), pages 3-15, April.
    10. Katz, J. Sylvan & Martin, Ben R., 1997. "What is research collaboration?," Research Policy, Elsevier, vol. 26(1), pages 1-18, March.
    11. Andersson, Ake E & Persson, Olle, 1993. "Networking Scientists," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 27(1), pages 11-21.
    12. Ron Boschma, 2005. "Proximity and Innovation: A Critical Assessment," Regional Studies, Taylor & Francis Journals, vol. 39(1), pages 61-74.
    13. Luka Kronegger & Franc Mali & Anuška Ferligoj & Patrick Doreian, 2012. "Collaboration structures in Slovenian scientific communities," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 631-647, February.
    14. Gillespie, Colin S., 2015. "Fitting Heavy Tailed Distributions: The poweRlaw Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 64(i02).
    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. Andrea Filippetti & Antonio Zinilli, 2023. "The innovation networks of city-regions in Europe: exclusive clubs or inclusive hubs?," Working Papers 63, Birkbeck Centre for Innovation Management Research, revised 08 Feb 2023.
    2. Inoue, Masaaki & Pham, Thong & Shimodaira, Hidetoshi, 2020. "Joint estimation of non-parametric transitivity and preferential attachment functions in scientific co-authorship networks," Journal of Informetrics, Elsevier, vol. 14(3).
    3. Antonio Zinilli & Yujie Gao & Thomas Scherngell, 2024. "Structural Dynamics of Inter-city Innovation Networks in China: A Perspective From TERGM," Networks and Spatial Economics, Springer, vol. 24(3), pages 707-741, September.

    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. 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.
    2. Chin-Chang Tsai & Elizabeth A. Corley & Barry Bozeman, 2016. "Collaboration experiences across scientific disciplines and cohorts," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 505-529, August.
    3. Qingzhou Luo & Jianhong Cecilia Xia & Gaby Haddow & Michele Willson & Jun Yang, 2018. "Does distance hinder the collaboration between Australian universities in the humanities, arts and social sciences?," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 695-715, May.
    4. Letina, Srebrenka, 2016. "Network and actor attribute effects on the performance of researchers in two fields of social science in a small peripheral community," Journal of Informetrics, Elsevier, vol. 10(2), pages 571-595.
    5. Ellen Siu, 2018. "Interorganisational collaboration in Academic Health Science Centre: A case study on King’s Health Partnership," Working Papers 40, Birkbeck Centre for Innovation Management Research, revised Feb 2021.
    6. Zaida Chinchilla-Rodríguez & Anuska Ferligoj & Sandra Miguel & Luka Kronegger & Félix Moya-Anegón, 2012. "Blockmodeling of co-authorship networks in library and information science in Argentina: a case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 699-717, December.
    7. Giovanni Abramo & Ciriaco Andrea D’Angelo & Marco Solazzi, 2010. "Assessing public–private research collaboration: is it possible to compare university performance?," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(1), pages 173-197, July.
    8. Tatiana Plotnikova & Bastian Rake, 2014. "Collaboration in pharmaceutical research: exploration of country-level determinants," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1173-1202, February.
    9. Lorenzo Cassi & Anne Plunket, 2014. "Proximity, network formation and inventive performance: in search of the proximity paradox," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(2), pages 395-422, September.
    10. Laurent R. Bergé, 2017. "Network proximity in the geography of research collaboration," Papers in Regional Science, Wiley Blackwell, vol. 96(4), pages 785-815, November.
    11. Ernest Miguélez & Rosina Moreno, 2013. "Do Labour Mobility and Technological Collaborations Foster Geographical Knowledge Diffusion? The Case of European Regions," Growth and Change, Wiley Blackwell, vol. 44(2), pages 321-354, June.
    12. Gallo, Julie Le & Plunket, Anne, 2020. "Regional gatekeepers, inventor networks and inventive performance: Spatial and organizational channels," Research Policy, Elsevier, vol. 49(5).
    13. Emerson Gomes Santos & Renato Garcia & Veneziano Araujo & Suelene Mascarini & Ariana Costa, 2021. "Spatial and non‐spatial proximity in university–industry collaboration: Mutual reinforcement and decreasing effects," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(4), pages 1249-1261, August.
    14. Máxima Bolaños-Pizarro & Bart Thijs & Wolfgang Glänzel, 2010. "Cardiovascular research in Spain. A comparative scientometric study," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(2), pages 509-526, November.
    15. 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.
    16. Massimo G. Colombo & Massimiliano Guerini & Cristina Rossi-Lamastra & Andrea Bonaccorsi, 2022. "The “first match” between high-tech entrepreneurial ventures and universities: the role of founders’ social ties," The Journal of Technology Transfer, Springer, vol. 47(1), pages 270-306, February.
    17. Kabirigi, Michel & Abbasiharofteh, Milad & Sun, Zhanli & Hermans, Frans, 2022. "The importance of proximity dimensions in agricultural knowledge and innovation systems: The case of banana disease management in Rwanda," Agricultural Systems, Elsevier, vol. 202(C).
    18. Graf, Holger & Kalthaus, Martin, 2018. "International research networks: Determinants of country embeddedness," Research Policy, Elsevier, vol. 47(7), pages 1198-1214.
    19. Jyoti Dua & Vivek Kumar Singh & Hiran H. Lathabai, 2023. "Measuring and characterizing international collaboration patterns in Indian scientific research," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 5081-5116, September.
    20. Heinze, Thomas & Kuhlmann, Stefan, 2006. "Analysis of heterogeneous collaboration in the German research system with a focus on nanotechnology," Discussion Papers "Innovation Systems and Policy Analysis" 6, Fraunhofer Institute for Systems and Innovation Research (ISI).

    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:108:y:2016:i:2:d:10.1007_s11192-016-1976-4. 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.