C++ library for large dynamic network simulation
The largenet2 library is a collection of C++ classes providing a framework for the
simulation of large discrete adaptive networks. It provides data structures
for an in-memory representation of directed or undirected networks, in which every
node and link can have an integer-valued state.
Efficient access to (random) nodes and links as well as (random) nodes and links with a given state value is provided. A limited number of graph-theoretical measures is implemented, such as the (state-resolved) in- and out-degree distributions and the degree correlations (same-node and nearest-neighbor).
Read the tutorial here. Source code is available here.
The largenet2 library has been developed by Gerd Zschaler.