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Open Access Publications from the University of California

A Framework for Imperfectly Observed Networks

  • Author(s): Aldous, D
  • Li, X
  • et al.

© 2017 Springer Science+Business Media, LLC Model a network as an edge-weighted graph, where the (unknown) weight (Formula presented.) of edge e indicates the frequency of observed interactions, and over time t we observe a Poisson ((Formula presented.)) number of interactions across edges e. How should we estimate some given statistic of the underlying network? This leads to wide-ranging and challenging problems, on which this article makes only partial progress.

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