IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v274y2016icp318-330.html

Predicting peak of participants in collective action

Author

Listed:
  • Lu, Peng

Abstract

In terms of the number of participants, almost each collective action has a life cycle where the number grows from zero to its peak where its maximum potential power or influence is acquired, then it decreases to zero eventually. Therefore, we concentrate on modeling, simulating, and predicting the peaks. The model is constructed based on previous models, and the data is collected from simulations. Preliminarily, it suggests that there exists a peak for collective action when its “jointness of supply” is less than one. Under complete homogeneity, the ideal peak is calculated and the ideal peaks function (IPF) is obtained. Then, heterogeneity is introduced into to the model, and the form of real peaks function (RPF) can be obtained based on simulations and statistical methods. For those who intend to organize a collective action and increase the peak of participants should take measures, such as ideology, leadership, and propagation, to enhance homogeneity or try to reduce heterogeneity.

Suggested Citation

  • Lu, Peng, 2016. "Predicting peak of participants in collective action," Applied Mathematics and Computation, Elsevier, vol. 274(C), pages 318-330.
    • Handle: RePEc:eee:apmaco:v:274:y:2016:i:c:p:318-330
    DOI: 10.1016/j.amc.2015.11.015
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300315014770
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.amc.2015.11.015?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Alexander Karaivanov, 2009. "Heterogeneity, returns to scale, and collective action," Canadian Journal of Economics, Canadian Economics Association, vol. 42(2), pages 771-807, May.
    2. Elinor Ostrom, 2003. "How Types of Goods and Property Rights Jointly Affect Collective Action," Journal of Theoretical Politics, , vol. 15(3), pages 239-270, July.
    3. Granovetter, Mark & Soong, Roland, 1986. "Threshold models of interpersonal effects in consumer demand," Journal of Economic Behavior & Organization, Elsevier, vol. 7(1), pages 83-99, March.
    4. Damon M. Centola, 2013. "Homophily, networks, and critical mass: Solving the start-up problem in large group collective action," Rationality and Society, , vol. 25(1), pages 3-40, February.
    5. Helen Z. Margetts & Peter John & Scott A. Hale & Stéphane Reissfelder, 2015. "Leadership without Leaders? Starters and Followers in Online Collective Action," Political Studies, Political Studies Association, vol. 63(2), pages 277-277, June.
    6. repec:cup:apsrev:v:67:y:1973:i:01:p:11-28_14 is not listed on IDEAS
    7. Karl-Dieter Opp, 1991. "Processes of Collective Political Action," Rationality and Society, , vol. 3(2), pages 215-251, April.
    8. Hai-hua Hu & Wen-tian Cui & Jun Lin & Yan-jun Qian, 2014. "ICTs, Social Connectivity, and Collective Action: A Cultural-Political Perspective," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 17(2), pages 1-7.
    9. Helen Z. Margetts & Peter John & Scott A. Hale & Stéphane Reissfelder, 2015. "Leadership without Leaders? Starters and Followers in Online Collective Action," Political Studies, Political Studies Association, vol. 63(2), pages 278-299, June.
    10. DavidP. Myatt & Chris Wallace, 2009. "Evolution, Teamwork and Collective Action: Production Targets in the Private Provision of Public Goods," Economic Journal, Royal Economic Society, vol. 119(534), pages 61-90, January.
    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. Lu, Peng & Nie, Shizhao, 2019. "The strength distribution and combined duration prediction of online collective actions: Big data analysis and BP neural networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    2. Kokkoris, Ioannis P. & Skuras, Dimitrios & Maniatis, Yannis & Dimopoulos, Panayotis, 2023. "Natura 2000 public awareness in EU: A prerequisite for successful conservation policy," Land Use Policy, Elsevier, vol. 125(C).

    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. Lu, Peng & Wang, Zheng & Nie, Shizhao & Pujia, Wangmo & Lu, Pengfei & Chen, Baosheng, 2018. "Exploring the participate propensity in cyberspace collective actions: The 5‰ rule," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 582-590.
    2. Lu, Peng, 2015. "Imitating winner or sympathizing loser? Quadratic effects on cooperative behavior in prisoners’ dilemma games," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 327-337.
    3. Lu, Peng & Nie, Shizhao, 2019. "The strength distribution and combined duration prediction of online collective actions: Big data analysis and BP neural networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    4. Brigitte Huber & Manuel Goyanes & Homero Gil de Zúñiga, 2021. "Linking Extraversion to Collective and Individual Forms of Political Participation: The Mediating Role of Political Discussion," Social Science Quarterly, Southwestern Social Science Association, vol. 102(4), pages 1289-1310, July.
    5. Lu, Peng & Yao, Qi & Lu, Pengfei, 2019. "Two-stage predictions of evolutionary dynamics during the rumor dissemination," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 349-369.
    6. Vincent Pasquier & Alex J Wood, 2018. "The power of social media as a labour campaigning tool: lessons from OUR Walmart and the Fight for 15," Post-Print hal-01903758, HAL.
    7. Helen Briassoulis, 2021. "Becoming E-Petition: An Assemblage-Based Framework for Analysis and Research," SAGE Open, , vol. 11(1), pages 21582440211, March.
    8. Jun Honda, 2015. "Games with the Total Bandwagon Property," Department of Economics Working Papers wuwp197, Vienna University of Economics and Business, Department of Economics.
    9. Grinstein, Amir & Bolderdijk, Jan Willem & Risselada, Hans, 2025. "From i-level to g-level to s-level change: New methods for a new mindset for consumer researchers," Journal of Business Research, Elsevier, vol. 198(C).
    10. Norman Braun, 1995. "Individual Thresholds and Social Diffusion," Rationality and Society, , vol. 7(2), pages 167-182, April.
    11. Bonache, Adrien, 2008. "Les ventes de produits innovants à la mode sont-elles chaotiques? Le cas des ventes de Game Boy au Japon [Are innovative and fashion goods sales chaotic? The case of Game Boy sales in Japan]," MPRA Paper 12964, University Library of Munich, Germany.
    12. Sattler, Claudia & Trampnau, Susanne & Schomers, Sarah & Meyer, Claas & Matzdorf, Bettina, 2013. "Multi-classification of payments for ecosystem services: How do classification characteristics relate to overall PES success?," Ecosystem Services, Elsevier, vol. 6(C), pages 31-45.
    13. Olivier Mesly & David W. Shanafelt & Nicolas Huck, 2021. "Dysfunctional Markets: A Spray of Prey Perspective," Journal of Economic Issues, Taylor & Francis Journals, vol. 55(3), pages 797-819, July.
    14. K. Kesteloot, 1992. "Multimarket cooperation with scope effects in demand," Journal of Economics, Springer, vol. 55(3), pages 245-264, October.
    15. Jacobs Martin, 2016. "Accounting for Changing Tastes: Approaches to Explaining Unstable Individual Preferences," Review of Economics, De Gruyter, vol. 67(2), pages 121-183, August.
    16. Michal Grajek, 2003. "Estimating Network Effects and Compatibility in Mobile Telecommunications," CIG Working Papers SP II 2003-26, Wissenschaftszentrum Berlin (WZB), Research Unit: Competition and Innovation (CIG).
    17. Gavrel, Frédéric & Rebiere, Therese, 2015. "On the Equilibrium and Welfare Consequences of 'Keeping up with the Joneses'," IZA Discussion Papers 9056, IZA Network @ LISER.
    18. Stefano Moroni, 2014. "Towards a general theory of contractual communities: neither necessarily gated, nor a form of privatization," Chapters, in: David Emanuel Andersson & Stefano Moroni (ed.), Cities and Private Planning, chapter 3, pages 38-65, Edward Elgar Publishing.
    19. Conlisk, John & Gong, Jyh-Chyi & Tong, Ching H., 2000. "Imitation and the dynamics of norms," Mathematical Social Sciences, Elsevier, vol. 40(2), pages 197-213, September.
    20. Bonache, Adrien & Moris, Karen, 2009. "Nonlinear and chaotic patterns in Japanese video game console sales and consequences for management control," MPRA Paper 18196, University Library of Munich, Germany.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:eee:apmaco:v:274:y:2016:i:c:p:318-330. 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: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    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.