Assortativity and bidegree distributions on Bernoulli random graph superpositions

26 Feb 2020 Bloznelis Mindaugas Karjalainen Joona Leskelä Lasse

A probabilistic generative network model with $n$ nodes and $m$ overlapping layers is obtained as a superposition of $m$ mutually independent Bernoulli random graphs of varying size and strength. When $n$ and $m$ are large and of the same order of magnitude, the model admits a sparse limiting regime with a tunable power-law degree distribution and nonvanishing clustering coefficient... (read more)

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Categories


  • PROBABILITY
  • SOCIAL AND INFORMATION NETWORKS
  • STATISTICS THEORY
  • STATISTICS THEORY