• Corpus ID: 245353843

Latent Network Models to Account for Noisy, Multiply-Reported Social Network Data

  title={Latent Network Models to Account for Noisy, Multiply-Reported Social Network Data},
  author={Caterina De Bacco and Martina Contisciani and Jonathan Cardoso-Silva and Hadi Safdari and Diego Baptista and Tracy Morrison Sweet and Jean-Gabriel Young and Jeremy M. Koster and Cody T. Ross and Richard Mcelreath and Daniel Redhead and Eleanor A. Power},
Social network data are often constructed by incorporating reports from multiple individuals. However, it is not obvious how to reconcile discordant responses from individuals. There may be particular risks with multiply-reported data if people’s responses reflect normative expectations—such as an expectation of balanced, reciprocal relationships. Here, we propose a probabilistic model that incorporates ties reported by multiple individuals to estimate the unobserved network structure. In… 

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