generate.dynamic.network: Generate a dynamic network

In incgraph: Incremental Graphlet Counting for Network Optimisation

Description

Generate a dynamic network

Usage

generate.dynamic.network(
  model, amnt.nodes, amnt.edges, amnt.operations, trace = T, ...)

generate.geometric(amnt.nodes, amnt.edges, amnt.operations,
  amnt.dimensions = 3, trace = T)

generate.barabasialbert(amnt.nodes, amnt.edges, amnt.operations,
  offset.exponent = 1, trace = T)

generate.erdosrenyi(amnt.nodes, amnt.edges, amnt.operations, trace = T)

Arguments

model	The network model with which to generate the network; "BA" for Barabási–Albert, "ER" for Erdős–Rényi, or "GEO" for geometric
amnt.nodes	the number of nodes in the network at any given type
amnt.edges	the number of edges in the network at any given type
amnt.operations	the number of edge additions/deletions to generate
trace	will print output text if TRUE
...	extra parameters to pass to a specific network generator
amnt.dimensions	(only GEO) the number of dimensions in which to operate
offset.exponent	(only BA) the offset exponent for the weighted sampling

Value

A list containing the starting network network and the dynamic operations peformed on it operations.

Examples

# 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)

Example output

Ops progress: 0/1000
Ops progress: 548/1000

incgraph documentation built on May 2, 2019, 3:48 p.m.