Helper functions for measuring over splits of networks

Source: R/measure_over.R

  • over_membership() runs a function, e.g. a measure, over different group memberships

  • over_waves() runs a function, e.g. a measure, over waves of a panel network

  • over_time() runs a function, e.g. a measure, over time slices of a dynamic network

over_membership(
  .data,
  FUN,
  ...,
  membership,
  strategy = "sequential",
  verbose = FALSE
)

over_waves(
  .data,
  FUN,
  ...,
  attribute = "wave",
  strategy = "sequential",
  verbose = FALSE
)

over_time(
  .data,
  FUN,
  ...,
  attribute = "time",
  slice = NULL,
  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

FUN

A function to run over all splits.

...

Further arguments to be passed on to FUN.

membership

A categorical membership vector.

strategy

If {furrr} is installed, then multiple cores can be used to accelerate the function. 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.

attribute

A string naming the attribute to be split upon.

slice

Optionally, a vector of specific slices. Otherwise all observed slices will be returned.