graph.acf: Autocorrelation Function Estimation for Graphs
| graph.acf | R Documentation |
Autocorrelation Function Estimation for Graphs
Description
The function graph.acf computes estimates of the autocorrelation
function for graphs.
Usage
graph.acf(Graphs, plot = TRUE)
Arguments
Graphs |
a list of undirected graphs.
If each graph has the attribute |
plot |
logical. If |
Value
An object of class acf.
References
Fujita, A., Takahashi, D. Y., Balardin, J. B., Vidal, M. C. and Sato, J. R. (2017) Correlation between graphs with an application to brain network analysis. _Computational Statistics & Data Analysis_ *109*, 76-92.
Examples
set.seed(1)
G <- list()
p <- array(0, 100)
p[1:3] <- rnorm(3)
for (t in 4:100) {
p[t] <- 0.5*p[t-3] + rnorm(1)
}
ma <- max(p)
mi <- min(p)
p <- (p - mi)/(ma-mi)
for (t in 1:100) {
G[[t]] <- igraph::sample_gnp(100, p[t])
}
graph.acf(G, plot=TRUE)
