IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v588y2022ics037843712100827x.html
   My bibliography  Save this article

Kinship networks in shrinking and growing populations

Author

Listed:
  • Martínez Alcalá, Samuel
  • Zanette, Damián H.

Abstract

We study the structural properties of a class of model social networks representing blood sibling and sibling-in-law relationships, in the case where the size of the married population varies between successive generations. These kinship networks are characterized by Poissonian degree distributions and the presence of a connected component encompassing a large part of the population, along with high values of clustering and assortativity. By means of numerical simulations and comparison with Erdős–Rényi networks of the same size and connectivity, we show that global clustering and assortativity remain high unless the size of the married population drops drastically. In contrast, the largest connected component collapses when the married population shrinks to just about two thirds of its size in the previous generation.

Suggested Citation

  • Martínez Alcalá, Samuel & Zanette, Damián H., 2022. "Kinship networks in shrinking and growing populations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 588(C).
    • Handle: RePEc:eee:phsmap:v:588:y:2022:i:c:s037843712100827x
    DOI: 10.1016/j.physa.2021.126554
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037843712100827X
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2021.126554?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. Serva, Maurizio, 2004. "Lack of self-averaging and family trees," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 332(C), pages 387-393.
    2. Dunning,Thad, 2012. "Natural Experiments in the Social Sciences," Cambridge Books, Cambridge University Press, number 9781107017665, November.
    3. Dunning,Thad, 2012. "Natural Experiments in the Social Sciences," Cambridge Books, Cambridge University Press, number 9781107698000, November.
    4. Pfau, Jens & Kirley, Michael & Kashima, Yoshihisa, 2013. "The co-evolution of cultures, social network communities, and agent locations in an extension of Axelrod’s model of cultural dissemination," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(2), pages 381-391.
    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. Grüner Sven, 2020. "Sample Size Calculation in Economic Experiments," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 240(6), pages 791-823, December.
    2. Paolo Pinotti, 0. "The Credibility Revolution in the Empirical Analysis of Crime," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 0, pages 1-14.
    3. Oded Galor & Ömer Özak, 2016. "The Agricultural Origins of Time Preference," American Economic Review, American Economic Association, vol. 106(10), pages 3064-3103, October.
    4. Catherine Welch & Eriikka Paavilainen-Mäntymäki & Rebecca Piekkari & Emmanuella Plakoyiannaki, 2022. "Reconciling theory and context: How the case study can set a new agenda for international business research," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 53(1), pages 4-26, February.
    5. Gregory J. Wawro & Ira Katznelson, 2020. "American political development and new challenges of causal inference," Public Choice, Springer, vol. 185(3), pages 299-314, December.
    6. de Renzio, Paolo & Wehner, Joachim, 2017. "The impacts of fiscal openness," LSE Research Online Documents on Economics 82521, London School of Economics and Political Science, LSE Library.
    7. Arzi Adbi, 2023. "Financial Sustainability of For-Profit Versus Non-Profit Microfinance Organizations Following a Scandal," Journal of Business Ethics, Springer, vol. 188(1), pages 57-74, November.
    8. Adel Daoud, 2020. "The wealth of nations and the health of populations: A quasi-experimental design of the impact of sovereign debt crises on child mortality," Papers 2012.14941, arXiv.org.
    9. John Gerring & Lee Cojocaru, 2016. "Selecting Cases for Intensive Analysis," Sociological Methods & Research, , vol. 45(3), pages 392-423, August.
    10. Kendall D. Funk & Erica Owen, 2020. "Consequences of an Anti‐Corruption Experiment for Local Government Performance in Brazil," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(2), pages 444-468, March.
    11. Natália S. Bueno & Thad Dunning, 2016. "Race, resources, and representation: Evidence from Brazilian politicians," WIDER Working Paper Series wp-2016-144, World Institute for Development Economic Research (UNU-WIDER).
    12. Isabel J. Raabe & Alexander Ehlert & David Johann & Heiko Rauhut, 2020. "Satisfaction of scientists during the COVID-19 pandemic lockdown," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-7, December.
    13. James Mahoney & Andrew Owen, 2022. "Importing set-theoretic tools into quantitative research: the case of necessary and sufficient conditions," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(4), pages 2001-2022, August.
    14. Yiannis Georgiou & Eleni A. Kyza, 2023. "Fostering Chemistry Students’ Scientific Literacy for Responsible Citizenship through Socio-Scientific Inquiry-Based Learning (SSIBL)," Sustainability, MDPI, vol. 15(8), pages 1-21, April.
    15. Claudia Schütze & Catherine Cleophas & Monideepa Tarafdar, 2020. "Revenue management systems as symbiotic analytics systems: insights from a field study," Business Research, Springer;German Academic Association for Business Research, vol. 13(3), pages 1007-1031, November.
    16. Shige Song & Weidong Wang, 2019. "Testing the Only-Child Advantage in Cognitive Development in the Context of China’s One-Child Policy," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 38(6), pages 841-867, December.
    17. Scott Gates & Mogens K. Justesen, 2020. "Political Trust, Shocks, and Accountability: Quasi-experimental Evidence from a Rebel Attack," Journal of Conflict Resolution, Peace Science Society (International), vol. 64(9), pages 1693-1723, October.
    18. Kate Baldwin & Rikhil R. Bhavnani, 2013. "Ancillary Experiments: Opportunities and Challenges," WIDER Working Paper Series wp-2013-024, World Institute for Development Economic Research (UNU-WIDER).
    19. Andrew Bertoli & Allan Dafoe & Robert F. Trager, 2019. "Is There a War Party? Party Change, the Left–Right Divide, and International Conflict," Journal of Conflict Resolution, Peace Science Society (International), vol. 63(4), pages 950-975, April.
    20. Anna Harvey, 2020. "Applying regression discontinuity designs to American political development," Public Choice, Springer, vol. 185(3), pages 377-399, December.

    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:phsmap:v:588:y:2022:i:c:s037843712100827x. 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.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.