Largenet2: an object-oriented programming library for simulating large adaptive networks
Gerd Zschaler, Thilo Gross

TL;DR
Largenet2 is a C++ library designed for efficient simulation of large, adaptive networks with dynamic structures and discrete states, facilitating research in network dynamics.
Contribution
This paper introduces Largenet2, a new object-oriented C++ library that enables scalable simulation of large adaptive networks with flexible state management.
Findings
Supports large-scale network simulations efficiently
Provides flexible infrastructure for adaptive network modeling
Open-source and freely available software
Abstract
The largenet2 C++ library provides an infrastructure for the simulation of large dynamic and adaptive networks with discrete node and link states. The library is released as free software. It is available at http://rincedd.github.com/largenet2. Largenet2 is licensed under the Creative Commons Attribution-NonCommercial 3.0 Unported License.
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Taxonomy
TopicsOpinion Dynamics and Social Influence · Complex Network Analysis Techniques · Cellular Automata and Applications
