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International Conference on Web and Internet Economics

Web and Internet Economics pp 272-285 | Cite as

Adaptive Rumor Spreading

  • José Correa
  • Marcos Kiwi
  • Neil Olver
  • Alberto Vera
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9470)

Abstract

Motivated by the recent emergence of the so-called opportunistic communication networks, we consider the issue of adaptivity in the most basic continuous time (asynchronous) rumor spreading process. In our setting a rumor has to be spread to a population; the service provider can push it at any time to any node in the network and has unit cost for doing this. On the other hand, as usual in rumor spreading, nodes share the rumor upon meeting and this imposes no cost on the service provider. Rather than fixing a budget on the number of pushes, we consider the cost version of the problem with a fixed deadline and ask for a minimum cost strategy that spreads the rumor to every node. A non-adaptive strategy can only intervene at the beginning and at the end, while an adaptive strategy has full knowledge and intervention capabilities. Our main result is that in the homogeneous case (where every pair of nodes randomly meet at the same rate) the benefit of adaptivity is bounded by a constant. This requires a subtle analysis of the underlying random process that is of interest in its own right.

Keywords

Marketing Harness 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

We thank Albert Banchs, Antonio Fernández, Domenico Giustiniano, Nicole Immorlica, Julia Komjáthy, Brendan Lucier, and Yaron Singer for stimulating discussions and helpful pointers to the literature.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • José Correa
    • 1
  • Marcos Kiwi
    • 2
  • Neil Olver
    • 3
  • Alberto Vera
    • 1
  1. 1.Department of Industrial EngineeringUniversidad de ChileSantiagoChile
  2. 2.Department of Mathematical Engineering and Center for Mathematical ModellingUniversidad de ChileSantiagoChile
  3. 3.Department of Econometrics and Operations ResearchVrije Universiteit Amsterdam; and CWIAmsterdamThe Netherlands

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