Prediction and prevention of disproportionally dominant agents in complex networks

Prediction and prevention of disproportionally dominant agents in complex networks

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© 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...

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Bibliographic Details
Main Authors: Lera, Sandro Claudio, Pentland, Alex, Sornette, Didier
Other Authors: MIT Connection Science (Research institute)
Format: Article
Language:English
Published: Proceedings of the National Academy of Sciences 2021
Online Access:https://hdl.handle.net/1721.1/134153

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