Seeding with Costly Network Information

  title={Seeding with Costly Network Information},
  author={Dean Eckles and Hossein Esfandiari and Elchanan Mossel and M. Amin Rahimian},
  journal={Operations Research},
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. However, it is often impractical to measure an entire social network. In “Seeding with Costly Network Information,” Eckles, Esfandiari, Mossel, and Rahimian develop and analyze algorithms for making a bounded number… 

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