Abstract
The origin of large but rare cascades that are triggered by small initial shocks is a problem that manifests itself in social and natural phenomena as diverse as cultural fads and business innovations (1–5), social movements and revolutions (6–8), and even cascading failures in large infrastructure networks (9–11). Here we present a possible explanation of such cascades in terms of a network of interacting agents whose decisions are determined by the actions of their neighbors. We identify conditions under which the network is susceptible to very rare, but very large cascades and explain why such cascades may be difficult to anticipate in practice.
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The analysis here assumes synchronous updating of agents, but the results are qualitatively unchanged if an asynchronous, random updating procedure is used instead.
Multimodal distributionsf(Ø)can exhibit stable equilibria that are intermediate between zero and one, but in this case, small shocks will always trigger cascades. In either case, the dynamics of the system is predictable.
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The author is grateful for the support of A. Lo, and acknowledges D. Callaway, M. Newman, and S. Strogatz for illuminating conversations.
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Watts, D.J. (2001). A Simple Model of Fads and Cascading Failures on Sparse Switching Networks. In: Kirman, A., Zimmermann, JB. (eds) Economics with Heterogeneous Interacting Agents. Lecture Notes in Economics and Mathematical Systems, vol 503. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-56472-7_2
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DOI: https://doi.org/10.1007/978-3-642-56472-7_2
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