Lazega: A network of advice, collaboration, and friendship in a law...

In ergm.multi: Fit, Simulate and Diagnose Exponential-Family Models for Multiple or Multilayer Networks

A network of advice, collaboration, and friendship in a law firm

Description

This dataset contains a network of relations of various types among 71 lawyers (partners and associates) in a New England (Northeastern US) corporate law firm referred to as “SG&R” collected 1988–1991 by \insertCiteLa01c;textualergm.multi.

Usage

data(Lazega)

Format

An object of class network of length 5.

Details

All relations are directed.

Nonstandard Vertex Attributes

age

(numeric) the lawyer's age.

gender

(character) the lawyer's gender ("man"/"woman").

office

(character) in which of the firm's three offices the lawyer is based ("Boston"/"Hartford"/"Providence").

practice

(character) which area of law the lawyer practices ("corporate"/"litigation").

school

(character) from which law school the lawyer graduated ("Harvard/Yale"/"UConnecticut"/"other").

seniority

(numeric) the lawyer's seniority rank in the firm (1 = high).

status

(character) the lawyer's status in the firm ("associate"/"partner").

yrs_frm

(numeric) the number of years the lawyer has been with the firm.

Nonstandard Edge Attributes

Each directed edge i\rightarrow j has the following attributes:

advice

(logical) whether i has reported receiving advice from j. (Note that as defined, advice flows from head of the directed edge to the tail.)

coworker

(logical) whether i has reported receiving j's assistance in preparing documents. (Note that as defined, assistance flows from head of the directed edge to the tail.)

friendship

(logical) whether i considers j a friend outside of work.

Licenses and Citation

When publishing results obtained using this data set, the original author \insertCiteLa01cergm.multi should be cited, along with this R package.

Source

This version of the dataset was retrieved from the RSiena web site and was compiled by Christopher Steven Marcum and Pavel N. Krivitsky for \insertCiteKrKo20e;textualergm.multi.

References

\insertAllCited

Examples

data(Lazega)
# Construct a multilayer network for ergm(). (See `?Layer` for syntax.)
LLazega <- Layer(Lazega, c("advice", "coworker", "friendship"))
# Specify a layer logic model.
efit <- ergm(LLazega ~ L(~edges + mutual, ~advice) +
                       L(~edges + mutual, ~coworker) +
                       L(~edges + mutual, ~friendship) +
                       L(~edges + mutual, ~advice&coworker) +
                       L(~edges + mutual, ~advice&friendship) +
                       L(~edges + mutual, ~coworker&friendship))
summary(efit)

ergm.multi documentation built on May 29, 2024, 11:07 a.m.