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The ICON R package provides easy-to-use and easy-to-access datasets from the Index of COmplex Networks (ICON) database available at the University of Colorado website.
All datasets can be loaded with a single function call and new datasets are being slowly added from ICON at https://icon.colorado.edu.
Currently, the ICON R package includes 1,075 complex networks.
Installation
To install the ICON package, run the following R code:
# install from CRAN (older, fewer networks)
install.packages("ICON")
# install development version from GitHub (updated, more networks)devtools::install_github("rrrlw/ICON")
Sample code
The sample code below demonstrates network visualization using the igraph R package.
For a more detailed look at network analysis (using the network R package) and visualization (using the ggnetwork R package), please take a look at the package vignette.
# load ICON package and data frame of available datasets
library("ICON")
data(ICON_data)
# vector of names of available datasets
print(ICON_data$Var_name)
# look at entire data frame in Rstudio
View(ICON_data)
# load the chess dataset for use and look at the first few lines
get_data("chess")
head(chess)
# load another dataset for use
get_data("seed_disperse_beehler")
# plot interaction network using igraph
library("igraph")
my_graph<- graph_from_edgelist(as.matrix(seed_disperse_beehler[, 1:2]), directed=FALSE)
plot(my_graph, vertex.label=NA, vertex.size=5)
# following plot is generated (exact vertex positioning varies each time code is run)
Contribute
See contribution guidelines here.
First-timers and beginners are welcome!
About
R package that provides complex systems datasets from the Colorado Index of Complex Networks (ICON) at https://icon.colorado.edu/.
