tidygraph: evolution_games – R documentation

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evolution_games

Graph games based on evolution

Description

This games create graphs through different types of evolutionary mechanisms (not necessarily in a biological sense). The nature of their algorithm is described in detail at the linked igraph documentation.

Usage

play_citation_age(
  n,
  growth = 1,
  bins = n/7100,
  p_pref = (1:(bins + 1))^-3,
  directed = TRUE
)

play_forestfire(
  n,
  p_forward,
  p_backward = p_forward,
  growth = 1,
  directed = TRUE
)

play_growing(n, growth = 1, directed = TRUE, citation = FALSE)

play_barabasi_albert(
  n,
  power,
  growth = 1,
  growth_dist = NULL,
  use_out = FALSE,
  appeal_zero = 1,
  directed = TRUE,
  method = "psumtree"
)

play_barabasi_albert_aging(
  n,
  power,
  power_age,
  growth = 1,
  growth_dist = NULL,
  bins = 300,
  use_out = FALSE,
  appeal_zero = 1,
  appeal_zero_age = 0,
  directed = TRUE,
  coefficient = 1,
  coefficient_age = 1,
  window = NULL
)

Arguments

`n`	The number of nodes in the graph.
`growth`	The number of edges added at each iteration
`bins`	The number of aging bins
`p_pref`	The probability that an edge will be made to an age bin.
`directed`	Should the resulting graph be directed
`p_forward, p_backward`	Forward and backward burning probability
`citation`	Should a citation graph be created
`power`	The power of the preferential attachment
`growth_dist`	The distribution of the number of added edges at each iteration
`use_out`	Should outbound edges be used for calculating citation probability
`appeal_zero`	The appeal value for unconnected nodes
`method`	The algorithm to use for graph creation. Either `'psumtree'`, `'psumtree-multiple'`, or `'bag'`
`power_age`	The aging exponent
`appeal_zero_age`	The appeal value of nodes without age
`coefficient`	The coefficient of the degree dependent part of attrictiveness
`coefficient_age`	The coefficient of the age dependent part of attrictiveness
`window`	The aging window to take into account when calculating the preferential attraction

Value

A tbl_graph object

Functions

play_citation_age: Create citation graphs based on a specific age link probability. See igraph::sample_last_cit()
play_forestfire: Create graphs by simulating the spead of fire in a forest. See igraph::sample_forestfire()
play_growing: Create graphs by adding a fixed number of edges at each iteration. See igraph::sample_growing()
play_barabasi_albert: Create graphs based on the Barabasi-Alberts preferential attachment model. See igraph::sample_pa()
play_barabasi_albert_aging: Create graphs based on the Barabasi-Alberts preferential attachment model, incoorporating node age preferrence. See igraph::sample_pa_age().

Examples

plot(play_forestfire(50, 0.5))

tidygraph

A Tidy API for Graph Manipulation

v1.2.0

MIT + file LICENSE

Authors

Thomas Lin Pedersen [cre, aut] (<https://orcid.org/0000-0002-5147-4711>)

Initial release