IDEAS home Printed from https://ideas.repec.org/a/eee/infome/v1y2007i4p308-337.html
   My bibliography  Save this article

Lotka's distribution and distribution of co-author pairs’ frequencies

Author

Listed:
  • Kretschmer, Hildrun
  • Kretschmer, Theo

Abstract

The original Lotka's Law refers to single scientist distribution, i.e. the frequency of authors Ai with i publications per author is a function of i: Ai=f(i). However, with increasing collaboration in science and in technology the study of the frequency of pairs or triples of co-authors is highly relevant. Starting with pair distribution well-ordered collaboration structures of co-author pairs will be presented, i.e. the frequency of co-author pairs Nij between authors with i publications per author and authors with j publications per author is a function of i and j: Nij=f(i, j) using the normal count procedure for counting i or j. We have assumed that the distribution of co-author pairs’ frequencies can be considered to be reflection of a social Gestalt and therefore can be described by the corresponding mathematical function based on well-known general characteristics of structures in interpersonal relations in social networks. We have shown that this model of social Gestalts can better explain the distribution of co-author pairs than by a simple bivariate function in analogy to Lotka's Law. This model is based on both the Gestalt theory and the old Chinese Yin/Yang theory.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:infome:v:1:y:2007:i:4:p:308-337
    DOI: 10.1016/j.joi.2007.07.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1751157707000600
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.joi.2007.07.003?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. Ronald Rousseau, 1992. "Breakdown of the robustness property of Lotka's Law: The case of adjusted counts for multiauthorship attribution," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 43(10), pages 645-647, December.
    2. 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.
    3. 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.
    4. L. Egghe & I.K. Ravichandra Rao, 2002. "Duality revisited: Construction of fractional frequency distributions based on two dual Lotka laws," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 53(10), pages 789-801.
    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. 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.
    2. Mary K. Feeney & Margarita Bernal, 2010. "Women in STEM networks: who seeks advice and support from women scientists?," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 767-790, December.
    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. Siluo Yang & Dietmar Wolfram & Feifei Wang, 2017. "The relationship between the author byline and contribution lists: a comparison of three general medical journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1273-1296, March.
    5. 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.
    6. Hildrun Kretschmer & Ramesh Kundra & Donald deB. Beaver & Theo Kretschmer, 2012. "Gender bias in journals of gender studies," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(1), pages 135-150, October.
    7. 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.
    8. William Latham & Christian Le Bas, 2011. "Causes, Consequences and Dynamics of ‘Complex’ Distributions of Technological Activities: The Case of Prolific Inventors," Chapters, in: Cristiano Antonelli (ed.), Handbook on the Economic Complexity of Technological Change, chapter 9, Edward Elgar Publishing.
    9. Lina M. Cortés & Andrés Mora-Valencia & Javier Perote, 2016. "The productivity of top researchers: a semi-nonparametric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 891-915, November.
    10. Dongbo Wang & Danhao Zhu & Xinning Su, 2012. "Lotka phenomenon in the words’ syntactic distribution complexity," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 483-498, February.
    11. Donald deB. Beaver, 2012. "Quantity is only one of the qualities," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(1), pages 33-39, October.

    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. Damien Besancenot & Kim Huynh & Francisco Serranito, 2015. "Co-Authorship And Individual Research Productivity In Economics: Assessing The Assortative Matching Hypothesis," CEPN Working Papers halshs-01252373, HAL.
    2. Pauline Mattsson & Patrice Laget & Anna Nilsson & Carl-Johan Sundberg, 2008. "Intra-EU vs. extra-EU scientific co-publication patterns in EU," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(3), pages 555-574, June.
    3. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    4. 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.
    5. Maki Kato & Asao Ando, 2013. "The relationship between research performance and international collaboration in chemistry," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 535-553, December.
    6. Sujin Choi, 2012. "Core-periphery, new clusters, or rising stars?: international scientific collaboration among ‘advanced’ countries in the era of globalization," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 25-41, January.
    7. Vieira, Elizabeth S. & Cerdeira, Jorge & Teixeira, Aurora A.C., 2022. "Which distance dimensions matter in international research collaboration? A cross-country analysis by scientific domain," Journal of Informetrics, Elsevier, vol. 16(2).
    8. Tianwei He, 2009. "International scientific collaboration of China with the G7 countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(3), pages 571-582, September.
    9. Hildrun Kretschmer & Ute Kretschmer & Theo Kretschmer, 2007. "Reflection of co-authorship networks in the Web: Web hyperlinks versus Web visibility rates," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(2), pages 519-540, February.
    10. Damien Besancenot & Kim V. Huynh & Francisco Serranito, 2015. "Determinant of Co-authorship in economics: the French case," Economics Bulletin, AccessEcon, vol. 35(1), pages 680-693.
    11. Wang L. & Coccia M., 2015. "Evolutionary convergence of the patterns of international research collaborations across scientific fields," MERIT Working Papers 2015-011, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    12. 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.
    13. Maki Kato & Asao Ando, 2017. "National ties of international scientific collaboration and researcher mobility found in Nature and Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 673-694, February.
    14. Bozeman, Barry & Corley, Elizabeth, 2004. "Scientists' collaboration strategies: implications for scientific and technical human capital," Research Policy, Elsevier, vol. 33(4), pages 599-616, May.
    15. Besancenot, Damien & Huynh, Kim & Serranito, Francisco, 2017. "Co-authorship and research productivity in economics: Assessing the assortative matching hypothesis," Economic Modelling, Elsevier, vol. 66(C), pages 61-80.
    16. 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.
    17. Zhihui Zhang & Jason E. Rollins & Evangelia Lipitakis, 2018. "China’s emerging centrality in the contemporary international scientific collaboration network," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 1075-1091, August.
    18. Eustache Mêgnigbêto, 2018. "Correlation Between Transmission Power and Some Indicators Used to Measure the Knowledge-Based Economy: Case of Six OECD Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(4), pages 1168-1183, December.
    19. Carillo, Maria Rosaria & Papagni, Erasmo & Sapio, Alessandro, 2013. "Do collaborations enhance the high-quality output of scientific institutions? Evidence from the Italian Research Assessment Exercise," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 47(C), pages 25-36.
    20. 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.

    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:eee:infome:v:1:y:2007:i:4:p:308-337. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/joi .

    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.