Modeling the Dynamics of Reward-Based Crowdfunding Systems: An Agent-Based Model of Kickstarter

  • Marco CampennìEmail author
  • Federico Cecconi
Part of the Computational Social Sciences book series (CSS)


In this chapter, we present an agent-based model of Kickstarter, maybe the most successful crowdfunding platform available nowadays. We aim to use the model to better understand cognitive strategies and behavioral dynamics governing Kickstarter, considered as a multi-actor system where agents adopting different strategies interact. The model shows how the success of agents is affected by the strategy they adopt and provide interesting insight about non-linear dynamics resulting from the interactions among agents.


Kickstarter Agent-based modelling Social network analysis Profiling investors Cognitive strategies 


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.BiosciencesUniversity of ExeterPenrynUK

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