On social networks that support learning

@article{Arieli2020OnSN,
  title={On social networks that support learning},
  author={Itai Arieli and Fedor Sandomirskiy and Rann Smorodinsky},
  journal={ArXiv},
  year={2020},
  volume={abs/2011.05255}
}
  • Itai Arieli, Fedor Sandomirskiy, Rann Smorodinsky
  • Published 2020
  • Computer Science, Economics
  • ArXiv
  • It is well understood that the structure of a social network is critical to whether or not agents can aggregate information correctly. In this paper, we study social networks that support information aggregation when rational agents act sequentially and irrevocably. Whether or not information is aggregated depends, inter alia, on the order in which agents decide. Thus, to decouple the order and the topology, our model studies a random arrival order. Unlike the case of a fixed arrival order, in… CONTINUE READING

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