A package for graph statistical algorithms.
A graph, or network, provides a mathematically intuitive representation of data with some sort of relationship between items. For example, a social network can be represented as a graph by considering all participants in the social network as nodes, with connections representing whether each pair of individuals in the network are friends with one another. Naively, one might apply traditional statistical techniques to a graph, which neglects the spatial arrangement of nodes within the network and is not utilizing all of the information present in the graph. In this package, we provide utilities and algorithms designed for the processing and analysis of graphs with specialized graph statistical algorithms.
- R:
Rpackage code. - docs: package documentation.
- man: package manual for help in R session.
- tests:
Runit tests written using thetestthatpackage. - vignettes:
Rvignettes for R session html help pages.
The graphstats package requires only a standard computer with enough RAM to support the operations defined by a user. For minimal performance, this will be a computer with about 2 GB of RAM. For optimal performance, we recommend a computer with the following specs:
RAM: 16+ GB
CPU: 4+ cores, 3.3+ GHz/core
The runtimes below are generated using a computer with the recommended specs (16 GB RAM, 4 [email protected] GHz) and internet of speed 25 Mbps.
This package is supported for Linux operating systems. The package has been tested on the following systems:
Linux: Ubuntu 16.04
Mac OSX:
Windows:
Before setting up the graphstats package, users should have R version 3.4.0 or higher, and several packages set up from CRAN.
the latest version of R can be installed by adding the latest repository to apt:
sudo echo "deb http://cran.rstudio.com/bin/linux/ubuntu xenial/" | sudo tee -a /etc/apt/sources.list
gpg --keyserver keyserver.ubuntu.com --recv-key E084DAB9
gpg -a --export E084DAB9 | sudo apt-key add -
sudo apt-get update
sudo apt-get install r-base r-base-dev
which should install in about 20 seconds.
If you are having an issue that you believe to be tied to software versioning issues, please drop us an Issue.
From an R session, type:
require(devtools)
install_github('neurodata/graphstats', build_vignettes=TRUE) # install graphstats with the vignettes
require(graphstats) # source the package now that it is set up
vignette("siem", package="graphstats") # view one of the basic vignettes
The package should take approximately 20 seconds to install with vignettes on a recommended computer.
For interactive demos of the functions, please check out the vignettes built into the package. They can be accessed as follows:
require(graphstats)
vignette('siem')
with a more in-depth demo found at SIEM model.
Below, we provide several real applications of functions in the graphstats pacakge.