density_binned_counts_gp: Calculate expected counts in density bins using the geometric...

In alan-turing-institute/network-comparison: An implementation of the NetEMD alignment-free network distance measure

Calculate expected counts in density bins using the geometric poisson (Polya-Aeppli) approximation.

Description

Calculate expected counts in density bins using the geometric poisson (Polya-Aeppli) approximation.

Usage

density_binned_counts_gp(
  graphlet_counts,
  density_interval_indexes,
  max_graphlet_size
)

Arguments

graphlet_counts	Graphlet counts for a number of ego_networks.
density_interval_indexes	Density bin index for each ego network.
max_graphlet_size	Determines the maximum size of graphlets. Currently only size 4 and 5 are supported. included in graphlet_counts.

alan-turing-institute/network-comparison documentation built on June 7, 2022, 10:41 p.m.