Prediction and prevention of disproportionally dominant agents in complex networks
© 2020 National Academy of Sciences. All rights reserved. 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, whereb...
Main Authors: | , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
Proceedings of the National Academy of Sciences
2021
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Online Access: | https://hdl.handle.net/1721.1/134153 |