Prediction and prevention of disproportionally dominant agents in complex networks
We develop an early warning system and subsequent optimal intervention policy to avoid the formation of disproportional dominance (“winner takes all,” WTA) in growing complex networks. This is modeled as a system of interacting agents, whereby the rate at which an agent establishes connections to ot...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Proceedings of the National Academy of Sciences
2021
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| Online Access: | https://hdl.handle.net/1721.1/130304 |