The goal of oddnet is to identify anomalous networks from a series of temporal networks.
You can install the development version of oddnet from GitHub with:
In this example we generate a series of networks and add an anomalous network at location 50.
library(oddnet)
library(igraph)
#>
#> Attaching package: 'igraph'
#> The following objects are masked from 'package:stats':
#>
#> decompose, spectrum
#> The following object is masked from 'package:base':
#>
#> union
set.seed(1)
networks <- list()
p.or.m.seq <- rep(0.05, 100)
p.or.m.seq[50] <- 0.2 # outlying network at 50
for(i in 1:100){
gr <- igraph::erdos.renyi.game(100, p.or.m = p.or.m.seq[i])
networks[[i]] <- igraph::as_adjacency_matrix(gr)
}
anom <- anomalous_networks(networks)
anom
#> Leave-out-out KDE outliers using lookout algorithm
#>
#> Call: lookout::lookout(X = dfpca[, 1:dd], alpha = alpha)
#>
#> Outliers Probability
#> 1 50 0