measure_over function

Helper functions for measuring over splits of networks

• 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 list("{furrr}") for more.

• verbose: Whether the function should report on its progress. By default FALSE. See list("{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.