Overview
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!
