Predicting peak of participants in collective action

DOI10.1016/j.amc.2015.11.015zbMath1410.91382OpenAlexW2188044439WikidataQ106508721 ScholiaQ106508721MaRDI QIDQ668832

Peng Lu

Publication date: 19 March 2019

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2015.11.015

zbMATH Keywords

heterogeneitycollective actionpeakparticipantspredict

Mathematics Subject Classification ID

Models of societies, social and urban evolution (91D10)

Related Items (1)

Structural effects of participation propensity in online collective actions: based on big data and Delphi methods

Cites Work

• Social control and the social contract: the emergence of sanctioning systems for collective action
• Learning dynamics in social dilemmas

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