igraph: sample_last_cit – R documentation

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sample_last_cit

Random citation graphs

Description

sample_last_cit creates a graph, where vertices age, and gain new connections based on how long ago their last citation happened.

Usage

sample_last_cit(
  n,
  edges = 1,
  agebins = n/7100,
  pref = (1:(agebins + 1))^-3,
  directed = TRUE
)

last_cit(...)

sample_cit_types(
  n,
  edges = 1,
  types = rep(0, n),
  pref = rep(1, length(types)),
  directed = TRUE,
  attr = TRUE
)

cit_types(...)

sample_cit_cit_types(
  n,
  edges = 1,
  types = rep(0, n),
  pref = matrix(1, nrow = length(types), ncol = length(types)),
  directed = TRUE,
  attr = TRUE
)

cit_cit_types(...)

Arguments

`n`	Number of vertices.
`edges`	Number of edges per step.
`agebins`	Number of aging bins.
`pref`	Vector (`sample_last_cit` and `sample_cit_types` or matrix (`sample_cit_cit_types`) giving the (unnormalized) citation probabilities for the different vertex types.
`directed`	Logical scalar, whether to generate directed networks.
`...`	Passed to the actual constructor.
`types`	Vector of length ‘`n`’, the types of the vertices. Types are numbered from zero.
`attr`	Logical scalar, whether to add the vertex types to the generated graph as a vertex attribute called ‘`type`’.

Details

sample_cit_cit_types is a stochastic block model where the graph is growing.

sample_cit_types is similarly a growing stochastic block model, but the probability of an edge depends on the (potentially) cited vertex only.

Value

A new graph.

Author(s)

Gabor Csardi csardi.gabor@gmail.com

igraph

Network Analysis and Visualization

v1.2.10

GPL (>= 2)

Authors

See AUTHORS file.

Initial release