dBlockmodeling (version 0.1.1)

nyt: The New York Times advertisement data

Description

The data pertain to the Turning Point Project (TPP), where \(n = 108\) organizations signed one or more of \(m = 25\) environmental activist-oriented, full-page advertisements in the New York Times (NYT) during 1999-2000.

Usage

data("nyt")

Format

The data set is a binary network matrix with 108 rows (organizations) and 25 columns (full-page advertisements). An element of the binary network matrix assumes a value of 1 if organization \(i\) signed advertisement \(j\) and 0 otherwise.

References

Brusco, M., Doreian, P., Steinley, D., & Satornino, C. B. (2013). Multiobjective blockmodeling for social network analysis. Psychometrika, 78 (3), 498-525

Brusco, M., & Doreian, P. (2015). A real-coded genetic algorithm for two-mode KL-means partitioning with application to homogeneity blockmodeling. Social Networks, 41, 26-35.

Examples

# NOT RUN {
data(nyt)

# Plot the network.
# (The function plotMat is from blockmodeling package.)
# plotMat(nyt)
# }