powered by
Generate a dynamic network
generate.dynamic.network( model, amnt.nodes, amnt.edges, amnt.operations, trace = TRUE, ...)generate.geometric( amnt.nodes, amnt.edges, amnt.operations, amnt.dimensions = 3, trace = TRUE )generate.barabasialbert( amnt.nodes, amnt.edges, amnt.operations, offset.exponent = 1, trace = TRUE )generate.erdosrenyi(amnt.nodes, amnt.edges, amnt.operations, trace = TRUE)
generate.geometric( amnt.nodes, amnt.edges, amnt.operations, amnt.dimensions = 3, trace = TRUE )
generate.barabasialbert( amnt.nodes, amnt.edges, amnt.operations, offset.exponent = 1, trace = TRUE )
generate.erdosrenyi(amnt.nodes, amnt.edges, amnt.operations, trace = TRUE)
A list containing the starting network network and the dynamic operations peformed on it operations.
network
operations
The network model with which to generate the network; "BA" for Barabási–Albert, "ER" for Erdős–Rényi, or "GEO" for geometric
"BA"
"ER"
"GEO"
the number of nodes in the network at any given type
the number of edges in the network at any given type
the number of edge additions/deletions to generate
will print output text if TRUE
TRUE
extra parameters to pass to a specific network generator
(only GEO) the number of dimensions in which to operate
(only BA) the offset exponent for the weighted sampling
# dyn.net.ba <- generate.dynamic.network("BA", 300, 300, 1000) dyn.net.er <- generate.dynamic.network("ER", 300, 300, 1000) dyn.net.geo <- generate.dynamic.network("GEO", 300, 300, 1000)
Run the code above in your browser using DataLab