IDEAS home Printed from https://ideas.repec.org/a/bla/jamist/v61y2010i7p1410-1423.html
   My bibliography  Save this article

Modes of collaboration in modern science: Beyond power laws and preferential attachment

Author

Listed:
  • Staša Milojević

Abstract

The goal of the study was to determine the underlying processes leading to the observed collaborator distribution in modern scientific fields, with special attention to nonpower‐law behavior. Nanoscience is used as a case study of a modern interdisciplinary field and its coauthorship network for 2000–2004 period is constructed from the NanoBank database. We find three collaboration modes that correspond to three distinct ranges in the distribution of collaborators: (1) for authors with fewer than 20 collaborators (the majority) preferential attachment does not hold and they form a log‐normal “hook” instead of a power law; (2) authors with more than 20 collaborators benefit from preferential attachment and form a power law tail; and (3) authors with between 250 and 800 collaborators are more frequent than expected because of the hyperauthorship practices in certain subfields.

Suggested Citation

  • Staša Milojević, 2010. "Modes of collaboration in modern science: Beyond power laws and preferential attachment," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(7), pages 1410-1423, July.
    • Handle: RePEc:bla:jamist:v:61:y:2010:i:7:p:1410-1423
    DOI: 10.1002/asi.21331
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/asi.21331
    Download Restriction: no
    File URL: https://libkey.io/10.1002/asi.21331?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
    ---><---

    Citations

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


    Cited by:

    1. Brent D Fegley & Vetle I Torvik, 2013. "Has Large-Scale Named-Entity Network Analysis Been Resting on a Flawed Assumption?," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-16, July.
    2. Zhai, Li & Yan, Xiangbin, 2022. "A directed collaboration network for exploring the order of scientific collaboration," Journal of Informetrics, Elsevier, vol. 16(4).
    3. Wu, Leyan & Yi, Fan & Bu, Yi & Lu, Wei & Huang, Yong, 2024. "Toward scientific collaboration: A cost-benefit perspective," Research Policy, Elsevier, vol. 53(2).
    4. Hamid Bouabid & Hind Achachi, 2022. "Size of science team at university and internal co-publications: science policy implications," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 6993-7013, December.
    5. Zheng Xie, 2019. "A cooperative game model for the multimodality of coauthorship networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 503-519, October.
    6. He, Chaocheng & Liu, Fuzhen & Dong, Ke & Wu, Jiang & Zhang, Qingpeng, 2023. "Research on the formation mechanism of research leadership relations: An exponential random graph model analysis approach," Journal of Informetrics, Elsevier, vol. 17(2).
    7. Jinseok Kim & Jana Diesner, 2019. "Formational bounds of link prediction in collaboration networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 687-706, May.
    8. Liu, Junwan & Guo, Xiaofei & Xu, Shuo & Song, Yinglu & Ding, Kaiyue, 2023. "A new interpretation of scientific collaboration patterns from the perspective of symbiosis: An investigation for long-term collaboration in publications," Journal of Informetrics, Elsevier, vol. 17(1).
    9. Chao Lu & Yingyi Zhang & Yong‐Yeol Ahn & Ying Ding & Chenwei Zhang & Dandan Ma, 2020. "Co‐contributorship network and division of labor in individual scientific collaborations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(10), pages 1162-1178, October.
    10. J. Sylvan Katz & Guillermo Armando Ronda-Pupo, 2019. "Cooperation, scale-invariance and complex innovation systems: a generalization," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 1045-1065, November.
    11. 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).

    More about this item

    Statistics

    Access and download statistics

    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:bla:jamist:v:61:y:2010:i:7:p:1410-1423. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.asis.org .

    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.