two2one: Two-mode network conversions

In blockmodelingTest: Testing Version: Generalized and Classical Blockmodeling of Valued Networks

Description

Converting two mode networks from two to one mode matrix representation and vice versa. If a two-mode matrix is converted into a one-mode matrix, the original two-mode matrix lies in the upper right corner of the one-mode matrix.

Usage

two2one(M, clu = NULL)
one2two(M, clu = NULL)

Arguments

M	A matrix representing the (usually valued) network.
clu	A partition. Each unique value represents one cluster. This should be a list of two vectors, one for each mode.

Value

Function returns list with the elements: a two mode matrix of a the two mode network in its upper left corner.

M	The matrix.
clu	The partition, in form appropriate for the mode of the matrix.

Author(s)

Aleš Žiberna

See Also

optParC, optParC, optRandomParC, plot.mat

Examples

# Generating a simple network corresponding to the simple Sum of squares
# Structural equivalence with blockmodel:
# null com
# null null
n <- c(7, 13)
net <- matrix(NA, nrow = n[1], ncol = n[2])
clu <- list(rep(1:2, times = c(3, 4)), rep(1:2, times = c(5, 8)))
tclu <- lapply(clu, table)
net[clu[[1]] == 1, clu[[2]] == 1] <- rnorm(n = tclu[[1]][1] * tclu[[2]][1],
   mean = 0, sd = 1)
net[clu[[1]] == 1, clu[[2]] == 2] <- rnorm(n = tclu[[1]][1] * tclu[[2]][2],
   mean = 4, sd = 1)
net[clu[[1]] == 2, clu[[2]] == 1] <- rnorm(n = tclu[[1]][2] * tclu[[2]][1],
   mean = 4, sd = 1)
net[clu[[1]] == 2, clu[[2]] == 2] <- rnorm(n = tclu[[1]][2] * tclu[[2]][2],
   mean = 0, sd = 1)
plot.mat(net, clu = clu) # Two mode matrix of a two mode network

# Converting to one mode network
M1 <- two2one(net)$M
plot.mat(M1, clu = two2one(net)$clu) # Plotting one mode matrix
# Converting one to two mode matrix and plotting
plot.mat(one2two(M1, clu = clu)$M, clu = clu)

blockmodelingTest documentation built on May 2, 2019, 5:57 p.m.