type_games | R Documentation |
This set of games are build around different types of nodes and simulating their interaction. The nature of their algorithm is described in detail at the linked igraph documentation.
play_preference(
n,
n_types,
p_type = rep(1, n_types),
p_pref = matrix(1, n_types, n_types),
fixed = FALSE,
directed = TRUE,
loops = FALSE
)
play_preference_asym(
n,
n_types,
p_type = matrix(1, n_types, n_types),
p_pref = matrix(1, n_types, n_types),
loops = FALSE
)
play_bipartite(n1, n2, p, m, directed = TRUE, mode = "out")
play_traits(
n,
n_types,
growth = 1,
p_type = rep(1, n_types),
p_pref = matrix(1, n_types, n_types),
callaway = TRUE,
directed = TRUE
)
play_citation_type(
n,
growth,
types = rep(0, n),
p_pref = rep(1, length(unique(types))),
directed = TRUE
)
n , n1 , n2 |
The number of nodes in the graph. For bipartite graphs |
n_types |
The number of different node types in the graph |
p_type |
The probability that a node will be the given type. Either a vector or a matrix, depending on the game |
p_pref |
The probability that an edge will be made to a type. Either a vector or a matrix, depending on the game |
fixed |
Should n_types be understood as a fixed number of nodes for each type rather than as a probability |
directed |
Should the resulting graph be directed |
loops |
Are loop edges allowed |
p |
The probabilty of an edge occuring |
m |
The number of edges in the graph |
mode |
The flow direction of edges |
growth |
The number of edges added at each iteration |
callaway |
Use the callaway version of the trait based game |
types |
The type of each node in the graph, enumerated from 0 |
A tbl_graph object
play_preference()
: Create graphs by linking nodes of different types
based on a defined probability. See igraph::sample_pref()
play_preference_asym()
: Create graphs by linking nodes of different types
based on an asymmetric probability. See igraph::sample_asym_pref()
play_bipartite()
: Create bipartite graphs of fixed size and edge count
or probability. See igraph::sample_bipartite()
play_traits()
: Create graphs by evolving a graph with type based edge
probabilities. See igraph::sample_traits()
and
igraph::sample_traits_callaway()
play_citation_type()
: Create citation graphs by evolving with type based
linking probability. See igraph::sample_cit_types()
and
igraph::sample_cit_cit_types()
Other graph games:
component_games
,
evolution_games
,
sampling_games
plot(play_bipartite(20, 30, 0.4))
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