multinet

A library for the analysis and mining of multilayer networks, based on the book: Multilayer Social Networks, by Dickison, Magnani and Rossi, Cambridge University Press. This is available as a C++ library and as an R library. A stable version of the R library is also available on CRAN.

Documentation

• A doxygen generated API reference which lists all types and functions of the library.
• Unit Tests which contain small code snippets used to test each library feature.

Requirements

The multinet library requires:

• A modern, C++11 ready compiler such as g++ version 4.7 or higher or clang version 3.2 or higher.
• The cmake build system.

Installation - C++

To download and install the library use the following commands.

git clone https://github.com/magnanim/multinet.git
cd multinet

mkdir build
cd build

cmake ..
make

This compiles and generates a sahred library into the build directory in the root library. A different location can be specified by executing cmake from another folder.

The documentation is generated inside the build/doc directory, while the testing suite will reside in build/test. In order run the test suite execute:

cd multinet/build/test
./multinet-tests

To install the library in your system use the generated Makefile script:

cd multinet/build
make install

Installation - R

The stable version of the R library can be installed directly from R by typing:

install.packages("multinet")

To install the latest version you should chdir to Rmultinet, create a /src folder and copy into it:

1. all the .c, .cpp and .h files from the C++ library (../multinet)
2. all the files from the C++ directory
3. all the files from the R directory

Then:

R CMD build Rmultinet
R CMD check multinet_1.1.tar.gz