IDEAS home Printed from https://ideas.repec.org/a/eee/infome/v3y2009i4p332-340.html
   My bibliography  Save this article

Critical thresholds for co-citation clusters and emergence of the giant component

Author

Listed:
  • Small, Henry

Abstract

The behavior of co-citation clusters is studied over a wide range of similarity values, and we demonstrate the existence of critical or percolation transitions marked by a sudden expansion of cluster size with a small decrease in similarity which, in most cases, reflects the emergence of a giant component on the overall graph for the dataset. The study was motivated by the question of how to set appropriate thresholds for delineating individual research areas that identify, as far as possible, natural boundaries, in view of the fact that a threshold or criterion appropriate for one area may not be appropriate for another. We explore the rate of change in cluster size as a possible boundary indicator. The relationship of this critical behavior to maps of science is discussed.

Suggested Citation

  • Small, Henry, 2009. "Critical thresholds for co-citation clusters and emergence of the giant component," Journal of Informetrics, Elsevier, vol. 3(4), pages 332-340.
    • Handle: RePEc:eee:infome:v:3:y:2009:i:4:p:332-340
    DOI: 10.1016/j.joi.2009.05.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1751157709000376
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.joi.2009.05.001?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. D. S. Callaway & J. E. Hopcroft & J. M. Kleinberg & M. E. J. Newman & S. H. Strogatz, 2001. "Are Randomly Grown Graphs Really Random?," Working Papers 01-05-025, Santa Fe Institute.
    2. Tomassini, Marco & Luthi, Leslie, 2007. "Empirical analysis of the evolution of a scientific collaboration network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 385(2), pages 750-764.
    3. Henry Small, 1999. "Visualizing science by citation mapping," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 50(9), pages 799-813.
    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. Neelam Kaushal & Rahul Pratap Singh Kaurav & Brijesh Sivathanu & Neeraj Kaushik, 2023. "Artificial intelligence and HRM: identifying future research Agenda using systematic literature review and bibliometric analysis," Management Review Quarterly, Springer, vol. 73(2), pages 455-493, June.
    2. Dirk Tunger & Marc Eulerich, 2018. "Bibliometric analysis of corporate governance research in German-speaking countries: applying bibliometrics to business research using a custom-made database," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 2041-2059, December.
    3. Neelam Kaushal & Neeraj Kaushik & Brijesh Sivathanu, 2021. "Workplace ostracism in various organizations: a systematic review and bibliometric analysis," Management Review Quarterly, Springer, vol. 71(4), pages 783-818, October.
    4. Hervas Oliver,Jose Luis & Gonzalez,Gregorio & Caja,Pedro, 2014. "Clusters and industrial districts: where is the literature going? Identifying emerging sub-fields of research," INGENIO (CSIC-UPV) Working Paper Series 201409, INGENIO (CSIC-UPV).
    5. David N. Matzig & Clemens Schmid & Felix Riede, 2023. "Mapping the field of cultural evolutionary theory and methods in archaeology using bibliometric methods," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-17, December.
    6. Satish Kumar & Riya Sureka & Sisira Colombage, 2020. "Capital structure of SMEs: a systematic literature review and bibliometric analysis," Management Review Quarterly, Springer, vol. 70(4), pages 535-565, November.
    7. Aparna Basu & Roland Wagner Dobler, 2012. "‘Cognitive mobility’ or migration of authors between fields used in mapping a network of mathematics," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 353-368, May.
    8. Rocco Palumbo & Mohammad Fakhar Manesh & Massimiliano M. Pellegrini & Giulia Flamini, 2020. "Exploiting Inter-Organizational Relationships in Health Care: A Bibliometric Analysis and Literature Review," Administrative Sciences, MDPI, vol. 10(3), pages 1-22, August.
    9. Masaki Eto, 2013. "Evaluations of context-based co-citation searching," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 651-673, February.
    10. Myriam Ertz & Sébastien Leblanc-Proulx, 2019. "Review of a proposed methodology for bibliometric and visualization analyses for organizations: application to the collaboration economy," Journal of Marketing Analytics, Palgrave Macmillan, vol. 7(2), pages 84-93, June.

    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. Jan Wiers & Didier Chabaud, 2022. "Bibliometric analysis of immigrant entrepreneurship research 2009–2019," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 12(1), pages 441-464, December.
    2. Gaviria-Marin, Magaly & Merigó, José M. & Baier-Fuentes, Hugo, 2019. "Knowledge management: A global examination based on bibliometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 194-220.
    3. Xiang-Yu Wang & Bao-Jun Tang, 2018. "Review of comparative studies on market mechanisms for carbon emission reduction: a bibliometric analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 94(3), pages 1141-1162, December.
    4. Serhat Burmaoglu & Ozcan Saritas, 2019. "An evolutionary analysis of the innovation policy domain: Is there a paradigm shift?," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 823-847, March.
    5. María Pinto & Rosaura Fernández-Pascual & David Caballero-Mariscal & Dora Sales, 2020. "Information literacy trends in higher education (2006–2019): visualizing the emerging field of mobile information literacy," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1479-1510, August.
    6. Giovanni Matteo & Pierfrancesco Nardi & Stefano Grego & Caterina Guidi, 2018. "Bibliometric analysis of Climate Change Vulnerability Assessment research," Environment Systems and Decisions, Springer, vol. 38(4), pages 508-516, December.
    7. 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.
    8. Dixit, Aasheesh & Jakhar, Suresh Kumar, 2021. "Airport capacity management: A review and bibliometric analysis," Journal of Air Transport Management, Elsevier, vol. 91(C).
    9. Santana, Monica & Cobo, Manuel J., 2020. "What is the future of work? A science mapping analysis," European Management Journal, Elsevier, vol. 38(6), pages 846-862.
    10. Khan, Ashraf & Hassan, M. Kabir & Paltrinieri, Andrea & Dreassi, Alberto & Bahoo, Salman, 2020. "A bibliometric review of takaful literature," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 389-405.
    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. Simon Zaby, 2019. "Science Mapping of the Global Knowledge Base on Microfinance: Influential Authors and Documents, 1989–2019," Sustainability, MDPI, vol. 11(14), pages 1-21, July.
    13. Magdalena Olczyk, 2016. "International Competitiveness in the Economics Literature: A Bibliometric Study," Athens Journal of Business & Economics, Athens Institute for Education and Research (ATINER), vol. 2(4), pages 375-388, October.
    14. Vincenza Carchiolo & Marco Grassia & Michele Malgeri & Giuseppe Mangioni, 2022. "Co-Authorship Networks Analysis to Discover Collaboration Patterns among Italian Researchers," Future Internet, MDPI, vol. 14(6), pages 1-15, June.
    15. Perianes-Rodriguez, Antonio & Ruiz-Castillo, Javier, 2017. "A comparison of the Web of Science and publication-level classification systems of science," Journal of Informetrics, Elsevier, vol. 11(1), pages 32-45.
    16. L. John Old, 2001. "Utilizing spatial information systems for non-spatial-data analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(3), pages 563-571, July.
    17. Masaki Eto, 2013. "Evaluations of context-based co-citation searching," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 651-673, February.
    18. Esther Prieto-Jiménez & Luis López-Catalán & Blanca López-Catalán & Guillermo Domínguez-Fernández, 2021. "Sustainable Development Goals and Education: A Bibliometric Mapping Analysis," Sustainability, MDPI, vol. 13(4), pages 1-20, February.
    19. Sergio Pardo-Jaramillo & Andrés Muñoz-Villamizar & Ignacio Osuna & Rolando Roncancio, 2020. "Mapping Research on Customer Centricity and Sustainable Organizations," Sustainability, MDPI, vol. 12(19), pages 1-18, September.
    20. Renald K. Buter & Ed C. M. Noyons, 2001. "Improving the functionality of interactive bibliometric science maps," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(1), pages 55-68, April.

    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:3:y:2009:i:4:p:332-340. 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.