A simple model of global cascades on random networks
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Abstract
The origin of large but rare cascades that are triggered by small initial shocks is a phenomenon that manifests itself as diversely as cultural fads, collective action, the diffusion of norms and innovations, and cascading failures in infrastructure and organizational networks. This paper presents a possible explanation of this phenomenon in terms of a sparse, random network of interacting agents whose decisions are determined by the actions of their neighbors according to a simple threshold rule. Two regimes are identified in which the network is susceptible to very large cascades-herein called global cascades-that occur very rarely. When cascade propagation is limited by the connectivity of the network, a…
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Topics
Keywords
- Cascade
- Statistical physics
- Preferential attachment
- Stability (learning theory)
- Percolation (cognitive psychology)
- Simple (philosophy)
- Interdependent networks
- Computer science
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