Corpus ID: 88523329

The Sparse Latent Position Model for nonnegative weighted networks

  title={The Sparse Latent Position Model for nonnegative weighted networks},
  author={Riccardo Rastelli},
  journal={arXiv: Methodology},
This paper introduces a new methodology to analyse bipartite and unipartite networks with nonnegative edge values. The proposed approach combines and adapts a number of ideas from the literature on latent variable network models. The resulting framework is a new type of latent position model which exhibits great flexibility, and is able to capture important features that are generally exhibited by observed networks, such as sparsity and heavy tailed degree distributions. A crucial advantage of… Expand
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