euclidean_distance: Euclidean Distance ('euclidean_distance')

In ideanet: Integrating Data Exchange and Analysis for Networks ('ideanet')

Euclidean Distance (euclidean_distance)

Description

Typical difference between between ego and their alters for a given continuous attribute (Perry et al. 2018)

Usage

euclidean_distance(
  ego_id,
  ego_measure,
  alter_ego,
  alter_measure,
  prefix = NULL,
  suffix = NULL
)

Arguments

ego_id	A vector of unique ego identifiers located in an ego dataframe. If using data objects created by ego_netwrite, this should be the data frame entitled egos.
ego_measure	A vector of attributes corresponding to each ego.
alter_ego	A vector of ego identifiers located in an alter dataframe. If using data objects created by ego_netwrite, this should be the data frame entitled alters.
alter_measure	A vector of attributes corresponding to each alter.
prefix	A character value indicating the desired prefix for the calculated homophily measure.
suffix	A character value indicating the desired suffix for the calculated homophily measure.

Value

euclidean_distance returns a dataframe of vectors that include the ego identifier and euclidean distance for the desired continuous attribute

Examples

# Run `ego_netwrite`
ngq_nw <- ego_netwrite(egos = ngq_egos,
                      ego_id = ngq_egos$ego_id,

                      alters = ngq_alters,
                      alter_id = ngq_alters$alter_id,
                      alter_ego = ngq_alters$ego_id,

                      max_alters = 10,
                      alter_alter = ngq_aa,
                      aa_ego = ngq_aa$ego_id,
                      i_elements = ngq_aa$alter1,
                      j_elements = ngq_aa$alter2,
                      directed = FALSE)


# Calculate Euclidean Distance
pol_euc <- euclidean_distance(ego_id = ngq_nw$egos$ego_id, ego_measure = ngq_nw$egos$pol,
                             alter_ego = ngq_nw$alters$ego_id, alter_measure = ngq_nw$alters$pol,
                             prefix = "pol")
pol_euc

ideanet documentation built on June 8, 2025, 1:07 p.m.