IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v60y2004i3d10.1023_bscie.0000034385.05897.46.html
   My bibliography  Save this article

Comparative analysis of coauthorship networks of different domains: The growth and change of networks

Author

Listed:
  • Fuyuki Yoshikane

    (National Institution for Academic Degrees and University Evaluation)

  • Kyo Kageura

    (National Institute of Informatics)

Abstract

Many studies have tried to describe patterns of research collaboration through observing coauthorship networks. Those studies mainly analyze static networks, and most of them do not consider the development of networks. In this study, we turn our attention to the development of personal collaboration networks. On the basis of an analysis from two viewpoints, i.e., growth in the number of collaborating partners and change in the relationship strength with partners, we describe and compare the characteristics of four different domains, i.e., electrical engineering, information processing, polymer science, and biochemistry.

Suggested Citation

  • Fuyuki Yoshikane & Kyo Kageura, 2004. "Comparative analysis of coauthorship networks of different domains: The growth and change of networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(3), pages 435-446, August.
    • Handle: RePEc:spr:scient:v:60:y:2004:i:3:d:10.1023_b:scie.0000034385.05897.46
    DOI: 10.1023/B:SCIE.0000034385.05897.46
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1023/B:SCIE.0000034385.05897.46
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1023/B:SCIE.0000034385.05897.46?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. Andersson, Ake E & Persson, Olle, 1993. "Networking Scientists," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 27(1), pages 11-21.
    2. Ramesh Kundra & Hildrun Kretschmer, 1999. "A new model of scientific collaboration part 2. Collaboration patterns in Indian medicine," Scientometrics, Springer;Akadémiai Kiadó, vol. 46(3), pages 519-528, November.
    3. Allan D. Pratt, 1977. "A measure of class concentration in bibliometrics," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 28(5), pages 285-292, September.
    4. Atkinson, Anthony B., 1970. "On the measurement of inequality," Journal of Economic Theory, Elsevier, vol. 2(3), pages 244-263, September.
    5. Fuyuki Yoshikane & Kyo Kageura & Keita Tsuji, 2003. "A method for the comparative analysis of concentration of author productivity, giving consideration to the effect of sample size dependency of statistical measures," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(6), pages 521-528, April.
    6. James Lee Ray & J. David Singer, 1973. "Measuring the Concentration of Power in the International System," Sociological Methods & Research, , vol. 1(4), pages 403-437, May.
    7. L. Egghe, 2002. "Sampling and concentration values of incomplete bibliographies," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 53(4), pages 271-281.
    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. Jinseok Kim & Liang Tao & Seok-Hyoung Lee & Jana Diesner, 2016. "Evolution and structure of scientific co-publishing network in Korea between 1948–2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 27-41, April.
    2. Branco Ponomariov & Craig Boardman, 2016. "What is co-authorship?," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1939-1963, December.
    3. Giovanni Abramo & Ciriaco Andrea D’Angelo & Flavia Di Costa, 2019. "The collaboration behavior of top scientists," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(1), pages 215-232, January.
    4. Claudia Noumedem Temgoua, 2018. "Highly skilled migration and the internationalization of knowledge," Cahiers du GREThA (2007-2019) 2018-16, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    5. Giovanni Abramo & Ciriaco Andrea D’Angelo, 2021. "A bibliometric methodology to unveil territorial inequities in the scientific wealth to combat COVID-19," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6601-6624, August.
    6. Christopher McCarty & James W. Jawitz & Allison Hopkins & Alex Goldman, 2013. "Predicting author h-index using characteristics of the co-author network," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 467-483, August.
    7. Fuyuki Yoshikane & Takafumi Suzuki, 2014. "Diversity of fields in patent citations: synchronic and diachronic changes," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1879-1897, March.
    8. Andrej Kastrin & Jelena Klisara & Borut Lužar & Janez Povh, 2017. "Analysis of Slovenian research community through bibliographic networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 791-813, February.
    9. Koen Jonkers & Robert Tijssen, 2008. "Chinese researchers returning home: Impacts of international mobility on research collaboration and scientific productivity," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(2), pages 309-333, November.
    10. Han-Wen Chang & Mu-Hsuan Huang, 2014. "Cohesive subgroups in the international collaboration network in astronomy and astrophysics," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1587-1607, December.
    11. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Murgia, Gianluca, 2013. "The collaboration behaviors of scientists in Italy: A field level analysis," Journal of Informetrics, Elsevier, vol. 7(2), pages 442-454.
    12. Abramo, Giovanni & Aksnes, Dag W. & D’Angelo, Ciriaco Andrea, 2021. "Gender differences in research performance within and between countries: Italy vs Norway," Journal of Informetrics, Elsevier, vol. 15(2).
    13. Javier Luis Cánovas Izquierdo & Valerio Cosentino & Jordi Cabot, 2016. "Analysis of co-authorship graphs of CORE-ranked software conferences," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1665-1693, December.
    14. Noémi Gaskó & Rodica Ioana Lung & Mihai Alexandru Suciu, 2016. "A new network model for the study of scientific collaborations: Romanian computer science and mathematics co-authorship networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 613-632, August.
    15. 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.
    16. Giovanni Abramo & Ciriaco Andrea D’Angelo & Flavia Costa, 2019. "A gender analysis of top scientists’ collaboration behavior: evidence from Italy," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 405-418, August.
    17. Zhigang Hu & Wencan Tian & Jiacheng Guo & Xianwen Wang, 2020. "Mapping research collaborations in different countries and regions: 1980–2019," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 729-745, July.

    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. Fuyuki Yoshikane & Takafumi Suzuki, 2014. "Diversity of fields in patent citations: synchronic and diachronic changes," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1879-1897, March.
    2. Fuyuki Yoshikane & Takayuki Nozawa & Susumu Shibui & Takafumi Suzuki, 2009. "An analysis of the connection between researchers’ productivity and their co-authors’ past attributions, including the importance in collaboration networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(2), pages 435-449, May.
    3. Ashantha Ranasinghe & Xuejuan Su, 2023. "When social assistance meets market power: A mixed duopoly view of health insurance in the United States," Economic Inquiry, Western Economic Association International, vol. 61(4), pages 851-869, October.
    4. Gajdos, Thibault & Maurin, Eric, 2004. "Unequal uncertainties and uncertain inequalities: an axiomatic approach," Journal of Economic Theory, Elsevier, vol. 116(1), pages 93-118, May.
    5. Eckstein, Zvi & Zilcha, Itzhak, 1994. "The effects of compulsory schooling on growth, income distribution and welfare," Journal of Public Economics, Elsevier, vol. 54(3), pages 339-359, July.
    6. Alain Chateauneuf & Patrick Moyes, 2005. "Lorenz non-consistent welfare and inequality measurement," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 2(2), pages 61-87, January.
    7. Roobavannan, M. & Kandasamy, J. & Pande, S. & Vigneswaran, S. & Sivapalan, M., 2020. "Sustainability of agricultural basin development under uncertain future climate and economic conditions: A socio-hydrological analysis," Ecological Economics, Elsevier, vol. 174(C).
    8. Oscar Volij, 2018. "Segregation: theoretical approaches," Chapters, in: Conchita D’Ambrosio (ed.), Handbook of Research on Economic and Social Well-Being, chapter 21, pages 480-503, Edward Elgar Publishing.
    9. Alessandro Spiganti, 2022. "Wealth Inequality and the Exploration of Novel Alternatives," Working Papers 2022:02, Department of Economics, University of Venice "Ca' Foscari".
    10. Günther Rehme, 2007. "Education, Economic Growth and Measured Income Inequality," Economica, London School of Economics and Political Science, vol. 74(295), pages 493-514, August.
    11. Junyi Zhu, 2014. "Bracket Creep Revisited - with and without r > g: Evidence from Germany," Journal of Income Distribution, Ad libros publications inc., vol. 23(3), pages 106-158, November.
    12. Juan Antonio Duro & Jordi Teixidó-Figueras & Emilio Padilla, 2017. "The Causal Factors of International Inequality in $$\hbox {CO}_{2}$$ CO 2 Emissions Per Capita: A Regression-Based Inequality Decomposition Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 67(4), pages 683-700, August.
    13. Jeni Klugman & Francisco Rodríguez & Hyung-Jin Choi, 2011. "The HDI 2010: new controversies, old critiques," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 9(2), pages 249-288, June.
    14. Zheng, Liang & Xue, Xinfeng & Xu, Chengcheng & Ran, Bin, 2019. "A stochastic simulation-based optimization method for equitable and efficient network-wide signal timing under uncertainties," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 287-308.
    15. Vani K. Borooah, 2013. "A general measure of the ‘effective’ number of parties in a political system," Chapters, in: Francisco Cabrillo & Miguel A. Puchades-Navarro (ed.), Constitutional Economics and Public Institutions, chapter 8, pages 146-159, Edward Elgar Publishing.
    16. Francesco Andreoli & Eugenio Peluso, 2016. "So close yet so unequal: Reconsidering spatial inequality in U.S. cities," Working Papers 21/2016, University of Verona, Department of Economics.
    17. Cowell, Frank & Flachaire, Emmanuel & Bandyopadhyay, Sanghamitra, 2009. "Goodness-of-fit: an economic approach," LSE Research Online Documents on Economics 25433, London School of Economics and Political Science, LSE Library.
    18. Ronald Rousseau, 2018. "The repeat rate: from Hirschman to Stirling," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 645-653, July.
    19. Michael P. Keane & Eswar S. Prasad, 2002. "Inequality, Transfers, And Growth: New Evidence From The Economic Transition In Poland," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 324-341, May.
    20. Andonie, Costel & Kuzmics, Christoph & Rogers, Brian W., 2019. "Efficiency-based measures of inequality," Journal of Mathematical Economics, Elsevier, vol. 85(C), pages 60-69.

    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:spr:scient:v:60:y:2004:i:3:d:10.1023_b:scie.0000034385.05897.46. 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.