Longitudinal variants of get_adjacency() which returns a three-dimensional array

get_adjacency_array takes in a dyadic dataset and outputs an three-dimensional array with the first two dimensions corresponding to actors and the third dimension corresponding to time. This function should be used only when the actor composition remains constant throughout time.

Usage

get_adjacency_array(
  dyad_data,
  actor1 = NULL,
  actor2 = NULL,
  time = NULL,
  symmetric = TRUE,
  mode = "unipartite",
  weight = NULL,
  sum_dyads = FALSE,
  diag_to_NA = TRUE,
  missing_to_zero = TRUE
)

Arguments

dyad_data: a dyadic dataframe (or a tibble)
actor1: character: name of the actor 1 variable in dyad_data
actor2: character: name of the actor 2 variable in dyad_data
time: character: name of the time variable in dyad_data, the values of the time variable itself should be numeric
symmetric: logical: whether ties are symmetric, default is TRUE
mode: character: whether the network is unipartite or bipartite, default is unipartite
weight: character: name of the weighted edges variable, default is NULL
sum_dyads: logical: whether to sum up the weight value when there exists repeating dyads
diag_to_NA: logical: whether diagonals should be set to NA, default is TRUE
missing_to_zero: logical: whether missing values should be set to zero, default is TRUE

Value

an array of class netify

Author

Cassy Dorff, Ha Eun Choi, Shahryar Minhas

Examples


# load example directed event data from ICEWS
# this data comes in the form of a dyadic
# dataframe where all dyad pairs are listed
data(icews)

# generate a longitudinal, directed and weighted network
# where the weights are matlConf
icews_matlConf <- get_adjacency_array(
  dyad_data=icews, 
  actor1='i', actor2='j', time='year',
  symmetric=FALSE, weight='matlConf' )