The EI-Index is the division of the intra-group edge density and the outer-group edge density. It is calculated for the whole network and for subgroups. The whole network EI is a metric indicating the tendency of a network to be clustered by the categories of a given factor variable. The EI value of a group describes the tendency of that group within a network to be connected [0,1) or not connected (-1,0] to other groups. Additionally, the EI index can be employed as a measurement for egos tendency to homo-/heteorphily - use the egor::comp_ei() command for that version of the EI-Index.

[0,1) or not connected (-1,0]: R:0,1)%20or%20not%20connected%20(-1,0

EI(object, alt.attr)

Arguments

object

An egor object.

alt.attr

Character naming grouping 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("egor32") EI(egor32, "sex")
#> EI-Index: sex
#> # A tibble: 32 x 3 #> ei_sc m w #> <dbl> <dbl> <dbl> #> 1 0.28 0.250 1 #> 2 0.0537 0.0430 0.0886 #> 3 -0.110 -0.0849 -0.151 #> 4 0.0198 0.125 -0.150 #> 5 0.0191 0 0.176 #> 6 -0.160 -0.101 -0.245 #> 7 0.0931 0.0588 0.233 #> 8 0.0820 0.111 0.0244 #> 9 0.158 0.2 -0.333 #> 10 -0.0581 0.0588 -0.321 #> # … with 22 more rows