IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v90y2012i2d10.1007_s11192-011-0493-8.html
   My bibliography  Save this article

Collaboration structures in Slovenian scientific communities

Author

Listed:
  • Luka Kronegger

    (University of Ljubljana)

  • Franc Mali

    (University of Ljubljana)

  • Anuška Ferligoj

    (University of Ljubljana)

  • Patrick Doreian

    (University of Ljubljana
    University of Pittsburgh)

Abstract

We combine two seemingly distinct perspectives regarding the modeling of network dynamics. One perspective is found in the work of physicists and mathematicians who formally introduced the small world model and the mechanism of preferential attachment. The other perspective is sociological and focuses on the process of cumulative advantage and considers the agency of individual actors in a network. We test hypotheses, based on work drawn from these perspectives, regarding the structure and dynamics of scientific collaboration networks. The data we use are for four scientific disciplines in the Slovene system of science. The results deal with the overall topology of these networks and specific processes that generate them. The two perspectives can be joined to mutual benefit. Within this combined approach, the presence of small-world structures was confirmed. However preferential attachment is far more complex than advocates of a single autonomous mechanism claim.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:scient:v:90:y:2012:i:2:d:10.1007_s11192-011-0493-8
    DOI: 10.1007/s11192-011-0493-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-011-0493-8
    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/s11192-011-0493-8?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. Said, Yasmin H. & Wegman, Edward J. & Sharabati, Walid K. & Rigsby, John T., 2008. "Social networks of author-coauthor relationships," Computational Statistics & Data Analysis, Elsevier, vol. 52(4), pages 2177-2184, January.
    2. Luka Kronegger & Anuška Ferligoj & Patrick Doreian, 2011. "On the dynamics of national scientific systems," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(5), pages 989-1015, August.
    3. Noriko Hara & Paul Solomon & Seung‐Lye Kim & Diane H. Sonnenwald, 2003. "An emerging view of scientific collaboration: Scientists' perspectives on collaboration and factors that impact collaboration," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(10), pages 952-965, August.
    4. Perc, Matjaž, 2010. "Growth and structure of Slovenia’s scientific collaboration network," Journal of Informetrics, Elsevier, vol. 4(4), pages 475-482.
    5. Rodriguez, Marko A. & Pepe, Alberto, 2008. "On the relationship between the structural and socioacademic communities of a coauthorship network," Journal of Informetrics, Elsevier, vol. 2(3), pages 195-201.
    6. Patrick Doreian & Anuška Ferligoj & Luka Kronegger, 2011. "On the dynamics of national scientific systems: a reply," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(5), pages 1025-1029, August.
    7. 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.
    8. Wolfgang Glänzel & Cornelius de Lange, 2002. "A distributional approach to multinationality measures of international scientific collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 54(1), pages 75-89, April.
    9. Giovanni Abramo & Ciriaco Andrea D’Angelo & Marco Solazzi, 2011. "The relationship between scientists’ research performance and the degree of internationalization of their research," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(3), pages 629-643, March.
    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. Sameer Kumar & Jariah Mohd. Jan, 2014. "Research collaboration networks of two OIC nations: comparative study between Turkey and Malaysia in the field of ‘Energy Fuels’, 2009–2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 387-414, January.
    2. Nataliya Matveeva & Anuška Ferligoj, 2020. "Scientific collaboration in Russian universities before and after the excellence initiative Project 5-100," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2383-2407, September.
    3. Romina Rodela, 2016. "On the use of databases about research performance: comments on Karlovčec and Mladenić (2015) and others using the SICRIS database," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2151-2157, December.
    4. 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.
    5. Li Zhai & Xiangbin Yan & Joshana Shibchurn & Xiaohong Song, 2014. "Evolutionary analysis of international collaboration network of Chinese scholars in management research," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1435-1454, February.
    6. Katarina Rojko & Brankica Bratić & Borut Lužar, 2020. "The Bologna reform’s impacts on the scientific publication performance of Ph.D. graduates—the case of Slovenia," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 329-356, July.
    7. Rojko, Katarina & Lužar, Borut, 2022. "Scientific performance across research disciplines: Trends and differences in the case of Slovenia," Journal of Informetrics, Elsevier, vol. 16(2).
    8. 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.
    9. 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.
    10. Abbasi, Alireza & Hossain, Liaquat & Leydesdorff, Loet, 2012. "Betweenness centrality as a driver of preferential attachment in the evolution of research collaboration networks," Journal of Informetrics, Elsevier, vol. 6(3), pages 403-412.
    11. Liliana Arroyo Moliner & Eva Gallardo-Gallardo & Pedro Gallo de Puelles, 2017. "Understanding scientific communities: a social network approach to collaborations in Talent Management research," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1439-1462, December.
    12. Mario Karlovčec & Borut Lužar & Dunja Mladenić, 2016. "Core-periphery dynamics in collaboration networks: the case study of Slovenia," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1561-1578, December.
    13. Hajdeja Iglič & Patrick Doreian & Luka Kronegger & Anuška Ferligoj, 2017. "With whom do researchers collaborate and why?," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 153-174, July.
    14. Anuška Ferligoj & Luka Kronegger & Franc Mali & Tom A. B. Snijders & Patrick Doreian, 2015. "Scientific collaboration dynamics in a national scientific system," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 985-1012, September.
    15. Andrej Kastrin & Jelena Klisara & Borut Lužar & Janez Povh, 2018. "Is science driven by principal investigators?," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1157-1182, November.
    16. Mario Karlovčec & Dunja Mladenić, 2015. "Interdisciplinarity of scientific fields and its evolution based on graph of project collaboration and co-authoring," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 433-454, January.
    17. McLevey, John & McIlroy-Young, Reid, 2017. "Introducing metaknowledge: Software for computational research in information science, network analysis, and science of science," Journal of Informetrics, Elsevier, vol. 11(1), pages 176-197.
    18. Marjan Cugmas & Franc Mali & Aleš Žiberna, 2020. "Scientific collaboration of researchers and organizations: a two-level blockmodeling approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2471-2489, December.
    19. Franc Mali, 2013. "Why an Unbiased External R&D Evaluation System is Important for the Progress of Social Sciences—the Case of a Small Social Science Community," Social Sciences, MDPI, vol. 2(4), pages 1-14, December.
    20. 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).
    21. José Monteagudo-Fernández & Cosme J. Gómez-Carrasco & Álvaro Chaparro-Sainz, 2021. "Heritage Education and Research in Museums. Conceptual, Intellectual and Social Structure within a Knowledge Domain (2000–2019)," Sustainability, MDPI, vol. 13(12), pages 1-21, June.
    22. 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.

    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. 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.
    2. Marjan Cugmas & Franc Mali & Aleš Žiberna, 2020. "Scientific collaboration of researchers and organizations: a two-level blockmodeling approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2471-2489, December.
    3. Anuška Ferligoj & Luka Kronegger & Franc Mali & Tom A. B. Snijders & Patrick Doreian, 2015. "Scientific collaboration dynamics in a national scientific system," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 985-1012, September.
    4. Tomaz Bartol & Gordana Budimir & Doris Dekleva-Smrekar & Miro Pusnik & Primoz Juznic, 2014. "Assessment of research fields in Scopus and Web of Science in the view of national research evaluation in Slovenia," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1491-1504, February.
    5. Sergi Lozano & Xosé-Pedro Rodríguez & Alex Arenas, 2014. "Atapuerca: evolution of scientific collaboration in an emergent large-scale research infrastructure," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1505-1520, February.
    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. Hajdeja Iglič & Patrick Doreian & Luka Kronegger & Anuška Ferligoj, 2017. "With whom do researchers collaborate and why?," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 153-174, July.
    8. Šubelj, Lovro & Fiala, Dalibor & Ciglarič, Tadej & Kronegger, Luka, 2019. "Convexity in scientific collaboration networks," Journal of Informetrics, Elsevier, vol. 13(1), pages 10-31.
    9. 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.
    10. Marian-Gabriel Hâncean & Matjaž Perc & Jürgen Lerner, 2021. "The coauthorship networks of the most productive European researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 201-224, January.
    11. Peng Liu & Haoxiang Xia, 2015. "Structure and evolution of co-authorship network in an interdisciplinary research field," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 101-134, April.
    12. Kim, Jinseok & Diesner, Jana, 2015. "The effect of data pre-processing on understanding the evolution of collaboration networks," Journal of Informetrics, Elsevier, vol. 9(1), pages 226-236.
    13. 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.
    14. Romina Rodela, 2016. "On the use of databases about research performance: comments on Karlovčec and Mladenić (2015) and others using the SICRIS database," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2151-2157, December.
    15. 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.
    16. Erjia Yan & Ying Ding & Qinghua Zhu, 2010. "Mapping library and information science in China: a coauthorship network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 115-131, April.
    17. Alberto Pepe & Marko A. Rodriguez, 2010. "Collaboration in sensor network research: an in-depth longitudinal analysis of assortative mixing patterns," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 687-701, September.
    18. Lara-Cabrera, R. & Cotta, C. & Fernández-Leiva, A.J., 2014. "An analysis of the structure and evolution of the scientific collaboration network of computer intelligence in games," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 395(C), pages 523-536.
    19. 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.
    20. Zheng Xie, 2021. "A distributed hypergraph model for simulating the evolution of large coauthorship networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4609-4638, June.

    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:90:y:2012:i:2:d:10.1007_s11192-011-0493-8. 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.