IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v511y2018icp272-279.html
   My bibliography  Save this article

A general social contagion dynamic in interconnected lattices

Author

Listed:
  • Shu, Panpan
  • Wang, Wei
  • Eugene Stanley, H.
  • Braunstein, Lidia A.

Abstract

Research on dynamical processes in interconnected spatial networks has expanded in recent years, but there has been little focus on social contagions. Using a general social contagion model, we numerically study how an interconnected spatial system composed of two interconnected planar lattices influences social contagion dynamics. When information is transmitted and allows for a probability of behavior adoption, strongly interconnected lattices stimulate the contagion process and significantly increase the final density of adopted individuals. We perform a finite-size analysis and confirm that the dependency of prevalence on the transmission rate is continuous regardless of the adoption probability. The prevalence grows discontinuously with the adoption probability even when the transmission rate is low. Although a high transmission rate or a high adoption probability increases the final adopted density in weak interconnected lattices, the prevalence always grows continuously in these networks. These findings help us understand social contagion dynamics in interconnected lattices.

Suggested Citation

  • Shu, Panpan & Wang, Wei & Eugene Stanley, H. & Braunstein, Lidia A., 2018. "A general social contagion dynamic in interconnected lattices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 511(C), pages 272-279.
    • Handle: RePEc:eee:phsmap:v:511:y:2018:i:c:p:272-279
    DOI: 10.1016/j.physa.2018.07.049
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037843711830921X
    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.2018.07.049?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. Jon M. Kleinberg, 2000. "Navigation in a small world," Nature, Nature, vol. 406(6798), pages 845-845, August.
    2. Filippo Radicchi & Claudio Castellano, 2015. "Breaking of the site-bond percolation universality in networks," Nature Communications, Nature, vol. 6(1), pages 1-7, December.
    3. Lin Wang & Joseph T. Wu, 2018. "Characterizing the dynamics underlying global spread of epidemics," Nature Communications, Nature, vol. 9(1), pages 1-11, December.
    4. Robert M. Bond & Christopher J. Fariss & Jason J. Jones & Adam D. I. Kramer & Cameron Marlow & Jaime E. Settle & James H. Fowler, 2012. "A 61-million-person experiment in social influence and political mobilization," Nature, Nature, vol. 489(7415), pages 295-298, September.
    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. Àlex Arenas & Antonio Cabrales & Leon Danon & Albert Díaz-Guilera & Roger Guimerà & Fernando Vega-Redondo, 2010. "Optimal information transmission in organizations: search and congestion," Review of Economic Design, Springer;Society for Economic Design, vol. 14(1), pages 75-93, March.
    2. Johnson, Nathan & Turnbull, Benjamin & Reisslein, Martin, 2022. "Social media influence, trust, and conflict: An interview based study of leadership perceptions," Technology in Society, Elsevier, vol. 68(C).
    3. Alan Gerber & Mitchell Hoffman & John Morgan & Collin Raymond, 2020. "One in a Million: Field Experiments on Perceived Closeness of the Election and Voter Turnout," American Economic Journal: Applied Economics, American Economic Association, vol. 12(3), pages 287-325, July.
    4. Kenju Kamei & Louis Putterman & Jean-Robert Tyran, 2019. "Civic Engagement as a Second-Order Public Good: The Cooperative Underpinnings of the Accountable State," Discussion Papers 19-10, University of Copenhagen. Department of Economics.
    5. Ruyi Ge & Juan Feng & Bin Gu, 2016. "Borrower’s default and self-disclosure of social media information in P2P lending," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 2(1), pages 1-6, December.
    6. Jiang, Lincheng & Zhao, Xiang & Ge, Bin & Xiao, Weidong & Ruan, Yirun, 2019. "An efficient algorithm for mining a set of influential spreaders in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 58-65.
    7. Boris Salazar & María del Pilar Castillo, 2008. "Pobreza Urbana Y Exclusión Social De Los Desplazados," Documentos de Trabajo 4500, Universidad del Valle, CIDSE.
    8. Andrea Avena-Koenigsberger & Xiaoran Yan & Artemy Kolchinsky & Martijn P van den Heuvel & Patric Hagmann & Olaf Sporns, 2019. "A spectrum of routing strategies for brain networks," PLOS Computational Biology, Public Library of Science, vol. 15(3), pages 1-24, March.
    9. Kristina Gavin Bigsby & Jeffrey W. Ohlmann & Kang Zhao, 2017. "Online and Off the Field: Predicting School Choice in College Football Recruiting from Social Media Data," Decision Analysis, INFORMS, vol. 14(4), pages 261-273, December.
    10. Blagus, Neli & Šubelj, Lovro & Bajec, Marko, 2012. "Self-similar scaling of density in complex real-world networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(8), pages 2794-2802.
    11. Douglas R. White & Jason Owen-Smith & James Moody & Walter W. Powell, 2004. "Networks, Fields and Organizations: Micro-Dynamics, Scale and Cohesive Embeddings," Computational and Mathematical Organization Theory, Springer, vol. 10(1), pages 95-117, May.
    12. Yann Algan & Quoc-Anh Do & Nicolò Dalvit & Alexis Le Chapelain & Yves Zenou, 2015. "How Social Networks Shape Our Beliefs: A Natural Experiment among Future French Politicians," Working Papers hal-03459820, HAL.
    13. Mechtenberg, Lydia & Tyran, Jean-Robert, 2019. "Voter motivation and the quality of democratic choice," Games and Economic Behavior, Elsevier, vol. 116(C), pages 241-259.
    14. Daniele Barchiesi & Helen Susannah Moat & Christian Alis & Steven Bishop & Tobias Preis, 2015. "Quantifying International Travel Flows Using Flickr," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-8, July.
    15. repec:spo:wpmain:info:hdl:2441/78vacv4udu92eq3fec89svm9uv is not listed on IDEAS
    16. Carolin V. Zorell, 2020. "Nudges, Norms, or Just Contagion? A Theory on Influences on the Practice of (Non-)Sustainable Behavior," Sustainability, MDPI, vol. 12(24), pages 1-21, December.
    17. Julian Freitag & Anna Kerkhof & Johannes Münster, 2021. "Selective sharing of news items and the political position of news outlets," ECONtribute Discussion Papers Series 056, University of Bonn and University of Cologne, Germany.
    18. Paul Resnick & Eytan Adar & Cliff Lampe, 2015. "What Social Media Data We Are Missing and How to Get It," The ANNALS of the American Academy of Political and Social Science, , vol. 659(1), pages 192-206, May.
    19. Cowan, Robin & Jonard, Nicolas & Sanditov, Bulat, 2009. "Fits and Misfits: Technological Matching and R&D Networks," MERIT Working Papers 2009-042, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    20. Amos Korman & Efrat Greenwald & Ofer Feinerman, 2014. "Confidence Sharing: An Economic Strategy for Efficient Information Flows in Animal Groups," PLOS Computational Biology, Public Library of Science, vol. 10(10), pages 1-10, October.
    21. Donati, Dante, 2023. "Mobile Internet access and political outcomes: Evidence from South Africa," Journal of Development Economics, Elsevier, vol. 162(C).

    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:511:y:2018:i:c:p:272-279. 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.