rank.nonconformity-ergmTerm: Nonconformity

In ergm.rank: Fit, Simulate and Diagnose Exponential-Family Models for Rank-Order Relational Data

Nonconformity

Description

Measures the amount of "nonconformity" in the network: configurations where an ego i ranks an alter j over another alter k, but ego l ranks k over j .

Usage

# valued: rank.nonconformity(to, par)

Arguments

to

which controls to whom an ego may conform: "all" (the default): Nonconformity to all egos is counted. A lower-than-chance value of this statistic and/or a negative coefficient implies a degree of consensus in the network. "localAND": Nonconformity of i to ego l regarding the relative ranking of j and k is only counted if i ranks l over both j and k . A lower-than-chance value of this statistic and/or a negative coefficient implies a form of hierarchical transitivity in the network. This is the recommended form of local nonconformity (over "local1" and "local2" ). "local1": Nonconformity of i to ego l regarding the relative ranking of j and k is only counted if i ranks l over j . "local2": Nonconformity of i to ego l regarding the relative ranking of j and k is only counted if i ranks l over k . "thresholds": Nonconformity of i to ego l regarding the relative ranking of j and k is only counted if i ranks l above par, where par can be a vector with multiple thresholds. "geometric": Nonconformity of i to ego l regarding the relative ranking of j and k is weighted by par taken to the power of the rank of l by i , where par is a scalar.

par

additional parameters for some types of nonconformity.

ergm.rank documentation built on June 2, 2022, 1:06 a.m.