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The strength distribution and combined duration prediction of online collective actions: Big data analysis and BP neural networks

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  • Lu, Peng
  • Nie, Shizhao

Abstract

Unveiling the patterns and mechanisms of human behaviors is the core task of collective action studies. In terms of the strength (impacts or power) of collective actions, some of them have bigger political influences or societal impacts than others, and the success chance or probability therefore varies a great deal. Some online collective actions have little effects or favorable outcomes, while others have successfully changed policies or decisions made by local or central governments; and others even overthrow the governments. Hence, the indicator of strength is applied to measure the powers, pressures, attentions, concerns, and impacts generated by certain collective actions. The strength of collective action is defined and calculated by the life function, i.e. it is defined as the summation or integral of life function (viability or total participation) divided by the durations or spans. There exists some regularity in terms of the strength’s distribution under both simulations and big data exploration. The peak model is utilized to simulate online collective actions, and the distribution of strength (N=1000) is close to normal distributions; it indicates by the observed big data cases (N=159) that it follows the lognormal distribution, which also holds true for subgroups. The introduction of strength paves the way for predicting the durations or spans of online collective actions. For the combined prediction with three factors (peak’s timing, peak’s heights, and viability), the accuracy of predicting durations or spans is close to 100% for both simulated data and observed big data. For separate predictions with single factor, the accuracy is closer to 100% as well.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:phsmap:v:535:y:2019:i:c:s0378437119305308
    DOI: 10.1016/j.physa.2019.04.267
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    References listed on IDEAS

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    1. Lu, Peng, 2016. "Predicting peak of participants in collective action," Applied Mathematics and Computation, Elsevier, vol. 274(C), pages 318-330.
    2. Lu, Peng, 2015. "Individual choice and reputation distribution of cooperative behaviors among heterogeneous groups," Chaos, Solitons & Fractals, Elsevier, vol. 77(C), pages 39-46.
    3. Michael Jones-Correa & Sophia J. Wallace & Chris Zepeda-Millán, 2016. "The Impact of Large-Scale Collective Action on Latino Perceptions of Commonality and Competition with African Americans," Social Science Quarterly, Southwestern Social Science Association, vol. 97(2), pages 458-475, June.
    4. Lu, Peng & Wang, Fang, 2015. "Heterogeneity of inferring reputation probability in cooperative behaviors for the spatial prisoners’ dilemma game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 433(C), pages 367-378.
    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. Huang, Haifeng, 2017. "A War of (Mis)Information: The Political Effects of Rumors and Rumor Rebuttals in an Authoritarian Country," British Journal of Political Science, Cambridge University Press, vol. 47(2), pages 283-311, April.
    7. McAndrews, Carolyn & Marcus, Justine, 2015. "The politics of collective public participation in transportation decision-making," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 537-550.
    8. Pierre Monforte & Pascale Dufour, 2011. "Mobilizing in Borderline Citizenship Regimes: A Comparative Analysis of Undocumented Migrants’ Collective Actions," Politics & Society, , vol. 39(2), pages 203-232, June.
    9. 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.
    10. Joyce Mandell, 2010. "Picnics, participation and power: linking community building to social change," Community Development, Taylor & Francis Journals, vol. 41(2), pages 269-282, April.
    11. Lu, Peng, 2015. "Learn good from bad: Effects of good and bad neighbors in spatial prisoners’ dilemma games," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 351-358.
    12. 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.
    13. Tawakkol Karman, 2013. "The Expanding Arab Spring*," Development, Palgrave Macmillan;Society for International Deveopment, vol. 56(3), pages 432-433, September.
    14. Candelaria Garay, 2007. "Social Policy and Collective Action: Unemployed Workers, Community Associations, and Protest in Argentina," Politics & Society, , vol. 35(2), pages 301-328, June.
    15. Simon A. Andrew & Kyujin Jung & Xiangyu Li, 2015. "Grass-Root Organisations, Intergovernmental Collaboration, and Emergency Preparedness: An Institutional Collective Action Approach," Local Government Studies, Taylor & Francis Journals, vol. 41(5), pages 673-694, September.
    16. Lin Wang & Xiang Li & Yi-Qing Zhang & Yan Zhang & Kan Zhang, 2011. "Evolution of Scaling Emergence in Large-Scale Spatial Epidemic Spreading," PLOS ONE, Public Library of Science, vol. 6(7), pages 1-11, July.
    17. Patricia Justino, 2009. "Poverty and Violent Conflict: A Micro-Level Perspective on the Causes and Duration of Warfare," Journal of Peace Research, Peace Research Institute Oslo, vol. 46(3), pages 315-333, May.
    18. Philippe Koch, 2013. "Bringing Power Back In: Collective and Distributive Forms of Power in Public Participation," Urban Studies, Urban Studies Journal Limited, vol. 50(14), pages 2976-2992, November.
    19. Beitl, Christine M., 2014. "Adding Environment to the Collective Action Problem: Individuals, Civil Society, and the Mangrove-Fishery Commons in Ecuador," World Development, Elsevier, vol. 56(C), pages 93-107.
    20. Lin Wang & Joseph T. Wu, 2018. "Characterizing the dynamics underlying global spread of epidemics," Nature Communications, Nature, vol. 9(1), pages 1-11, December.
    21. Thomas Markussen & Louis Putterman & Jean-Robert Tyran, 2014. "Self-Organization for Collective Action: An Experimental Study of Voting on Sanction Regimes," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(1), pages 301-324.
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