EI: Calculate the EI-Index

In tilltnet/egonetR: Import and analyse ego-centric network data

Description

The EI-Index compares the intra-group edge density to the outer-group edge density. It can be calculated for the whole network and for subgroups. The whole network EI is a metric indicating the tendency of a network to be grouped by the categories of a given factor variable. The EI value of a groups describes the tendency of a group to be connected or not connected to other groups. Additionally, the EI index can be employ as a measurment for egos tendendy to homo-/heterphily - use the composition command for this version, as it is a compositional measure.

Usage

EI(alteri, edges_, var_name, egoID = "egoID", alterID = "alterID")

Arguments

alteri	List of alteri attribute data.frames or data.frame of alteri attributes.
edges_	List of edgelist-dataframes or one dataframes #' containing all edges_
var_name	Character naming grouping variable.
egoID	Character naming ego ID variable.
alterID	Character naming alter ID variable.

References

Krackhardt, D., Stern, R.N., 1988. Informal networks and organizational crises: an experimental simulation. Social Psychology Quarterly 51 (2), 123-140.

Everett, M. G., & Borgatti, S. P. (2012). Categorical attribute based centrality: E-I and G-F centrality. Social Networks, 34(4), 562-569.

Examples

data("alteri32")
data("edges32")
EI(alteri32, edges32, var_name = "alter.sex")

tilltnet/egonetR documentation built on May 31, 2019, 1:46 p.m.