Seeding with Costly Network Information
<jats:p> In the presence of contagion, decision makers strategize about where in a network to intervene (e.g., seeding a new product). A large literature has developed methods for approximately optimizing the choice of k seeds to cause the largest cascade of, for example, product adoption. How...
Main Authors: | Eckles, Dean, Esfandiari, Hossein, Mossel, Elchanan, Rahimian, M Amin |
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Other Authors: | Massachusetts Institute of Technology. Department of Mathematics |
Format: | Article |
Language: | English |
Published: |
Institute for Operations Research and the Management Sciences (INFORMS)
2022
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Online Access: | https://hdl.handle.net/1721.1/145811 |
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