make_play: Simulating multiple diffusion processes

In migraph: Inferential Methods for Multimodal and Other Networks

Simulating multiple diffusion processes

Description

Simulating multiple diffusion processes

Usage

play_diffusions(
  .data,
  ...,
  times = 5,
  strategy = "sequential",
  verbose = FALSE
)

Arguments

.data	An object of a manynet-consistent class: matrix (adjacency or incidence) from {base} R edgelist, a data frame from {base} R or tibble from {tibble} igraph, from the {igraph} package network, from the {network} package tbl_graph, from the {tidygraph} package
...	Other parameters inherited from manynet::play_diffusion().
times	Integer indicating number of simulations. By default times=5, but 1,000 - 10,000 simulations recommended for publication-ready results.
strategy	If {furrr} is installed, then multiple cores can be used to accelerate the simulations. By default "sequential", but if multiple cores available, then "multisession" or "multicore" may be useful. Generally this is useful only when times > 1000. See {furrr} for more.
verbose	Whether the function should report on its progress. By default FALSE. See {progressr} for more.

Examples

# plot(play_diffusions(smeg, times = 10))

migraph documentation built on June 20, 2025, 5:08 p.m.