IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v104y2015i1d10.1007_s11192-015-1579-5.html
   My bibliography  Save this article

Three-dimensional visualization and animation of emerging patterns by the process of self-organization in collaboration networks

Author

Listed:
  • Hildrun Kretschmer

    (COLLNET Center)

  • Donald Beaver

    (Williams College)

  • Theo Kretschmer

    (COLLNET Center)

Abstract

The “Social Gestalt” model is a new parametric model visualizing 3-D graphs, using animation to show these graphs from different points of view. A visible 3-D graph image is the emerging pattern at the macro level of a system of co-authorships by the process of self-organization. Well-ordered 3-D computer graphs are totally rotatable and their shapes are visible from all possible points of view. The objectives of this paper are the description of several methods for three-dimensional modelling and animation and the application of these methods to two co-authorship networks selected for demonstration of varying 3-D graph images. This application of the 3-D graph modelling and animation shows for both the journal “NATURE” and the journal “Psychology of Women Quarterly” that at any time and independently on the manifold visible results of rotation, the empirical values nearly exactly match the theoretical distributions (Called “Social Gestalts”) obtained by regression analysis. In addition the emergence of different shapes between the 3-D graphs of “NATURE” and “Psychology of Women Quarterly” is explained.

Suggested Citation

  • Hildrun Kretschmer & Donald Beaver & Theo Kretschmer, 2015. "Three-dimensional visualization and animation of emerging patterns by the process of self-organization in collaboration networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 87-120, July.
    • Handle: RePEc:spr:scient:v:104:y:2015:i:1:d:10.1007_s11192-015-1579-5
    DOI: 10.1007/s11192-015-1579-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-015-1579-5
    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/s11192-015-1579-5?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. Bordons, María & Aparicio, Javier & González-Albo, Borja & Díaz-Faes, Adrián A., 2015. "The relationship between the research performance of scientists and their position in co-authorship networks in three fields," Journal of Informetrics, Elsevier, vol. 9(1), pages 135-144.
    3. Bulent Ozel & Hildrun Kretschmer & Theo Kretschmer, 2014. "Co-authorship pair distribution patterns by gender," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 703-723, January.
    4. Haiyang Lu & Yuqiang Feng, 2009. "A measure of authors’ centrality in co-authorship networks based on the distribution of collaborative relationships," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(2), pages 499-511, November.
    5. Wagner, Caroline S. & Leydesdorff, Loet, 2005. "Network structure, self-organization, and the growth of international collaboration in science," Research Policy, Elsevier, vol. 34(10), pages 1608-1618, December.
    6. Katz, J. Sylvan & Martin, Ben R., 1997. "What is research collaboration?," Research Policy, Elsevier, vol. 26(1), pages 1-18, March.
    7. Steven A. Morris & Michel L. Goldstein, 2007. "Manifestation of research teams in journal literature: A growth model of papers, authors, collaboration, coauthorship, weak ties, and Lotka's law," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(12), pages 1764-1782, October.
    8. Michel Zitt & Elise Bassecoulard & Yoshiko Okubo, 2000. "Shadows of the Past in International Cooperation: Collaboration Profiles of the Top Five Producers of Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 47(3), pages 627-657, March.
    9. Kretschmer, Hildrun & Kretschmer, Theo, 2007. "Lotka's distribution and distribution of co-author pairs’ frequencies," Journal of Informetrics, Elsevier, vol. 1(4), pages 308-337.
    10. Melin, Goran, 2000. "Pragmatism and self-organization: Research collaboration on the individual level," Research Policy, Elsevier, vol. 29(1), pages 31-40, January.
    11. Rousseau, Ronald & Zhao, Star X., 2015. "A general conceptual framework for characterizing the ego in a network," Journal of Informetrics, Elsevier, vol. 9(1), pages 145-149.
    Full references (including those not matched with items on IDEAS)

    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. Cédric Gossart & Müge Özman, 2009. "Co-authorship networks in social sciences: The case of Turkey," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(2), pages 323-345, February.
    2. Elizabeth S. Vieira, 2022. "International research collaboration in Africa: a bibliometric and thematic analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2747-2772, May.
    3. Sergey Kolesnikov & Seokkyun Woo & Yin Li & Philip Shapira & Jan Youtie, 2019. "Mapping the emergence of international university research ventures," The Journal of Technology Transfer, Springer, vol. 44(4), pages 1134-1162, August.
    4. Kretschmer, Hildrun & Beaver, Donald deB. & Ozel, Bulent & Kretschmer, Theo, 2015. "Who is collaborating with whom? Part I. Mathematical model and methods for empirical testing," Journal of Informetrics, Elsevier, vol. 9(2), pages 359-372.
    5. Lemarchand, Guillermo A., 2012. "The long-term dynamics of co-authorship scientific networks: Iberoamerican countries (1973–2010)," Research Policy, Elsevier, vol. 41(2), pages 291-305.
    6. Giovanni Abramo & Ciriaco Andrea D'Angelo & Flavia Costa, 2012. "Identifying interdisciplinarity through the disciplinary classification of coauthors of scientific publications," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(11), pages 2206-2222, November.
    7. Svein Kyvik & Ingvild Reymert, 2017. "Research collaboration in groups and networks: differences across academic fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 951-967, November.
    8. Elizabeth S. Vieira & Jorge Cerdeira, 2022. "The integration of African countries in international research networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1995-2021, April.
    9. Hui Xuan Tan & Ephrance Abu Ujum & Kwai Fatt Choong & Kuru Ratnavelu, 2015. "Impact analysis of domestic and international research collaborations: a Malaysian case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 885-904, January.
    10. Alireza Abbasi & Liaquat Hossain & Shahadat Uddin & Kim J. R. Rasmussen, 2011. "Evolutionary dynamics of scientific collaboration networks: multi-levels and cross-time analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 687-710, November.
    11. Carla Mara Hilário & Maria Cláudia Cabrini Grácio, 2017. "Scientific collaboration in Brazilian researches: a comparative study in the information science, mathematics and dentistry fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 929-950, November.
    12. Ali Gazni & Cassidy R. Sugimoto & Fereshteh Didegah, 2012. "Mapping world scientific collaboration: Authors, institutions, and countries," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(2), pages 323-335, February.
    13. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    14. Minsoo Choi & Heejin Lee & Hanah Zoo, 2021. "Scientific knowledge production and research collaboration between Australia and South Korea: patterns and dynamics based on co-authorship," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 683-706, January.
    15. Bammer, Gabriele, 2008. "Enhancing research collaborations: Three key management challenges," Research Policy, Elsevier, vol. 37(5), pages 875-887, June.
    16. Abbasi, Alireza & Altmann, Jörn & Hossain, Liaquat, 2011. "Identifying the effects of co-authorship networks on the performance of scholars: A correlation and regression analysis of performance measures and social network analysis measures," Journal of Informetrics, Elsevier, vol. 5(4), pages 594-607.
    17. Julia Melkers & Agrita Kiopa, 2010. "The Social Capital of Global Ties in Science: The Added Value of International Collaboration," Review of Policy Research, Policy Studies Organization, vol. 27(4), pages 389-414, July.
    18. Maria Rosaria Carillo & Erasmo Papagni & Alessandro Sapio, 2012. "Do collaborations enhance the high-quality output of scientific institutions? Evidence from the Italian Research Assessment Exercise (2001-2003)," Discussion Papers 4_2012, CRISEI, University of Naples "Parthenope", Italy.
    19. Seyedamir Tavakoli Taba & Liaquat Hossain & Simon Reay Atkinson & Sarah Lewis, 2015. "Towards understanding longitudinal collaboration networks: a case of mammography performance research," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 531-544, May.
    20. Chen, Kaihua & Zhang, Yi & Fu, Xiaolan, 2019. "International research collaboration: An emerging domain of innovation studies?," Research Policy, Elsevier, vol. 48(1), pages 149-168.

    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:104:y:2015:i:1:d:10.1007_s11192-015-1579-5. 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.