Seeding with Costly Network Information

Proceedings of the 2019 ACM Conference on Economics and Computation, pp. 421-422, 2019.

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Abstract:

Seeding the most influential individuals based on the contact structure can substantially enhance the extent of a spread over the social network. Most of the influence maximization literature assumes the knowledge of the entire network graph. However, in practice, obtaining full knowledge of the network structure is very costly. We propos...More

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