Graph-tool
≈ 1 min read
Names in other languages
No names in other languages are held for this entry yet.
Article bodies are English and are not machine-translated. A name in another language is not a translation of the article.
graph-tool is a Python module for manipulation and statistical analysis of graphs (AKA networks). The core data structures and algorithms of graph-tool are implemented in C++, making extensive use of metaprogramming, based heavily on the Boost Graph Library. Many algorithms are implemented in parallel using OpenMP, which provides increased performance on multi-core architectures.
graph-tool is a Python module for manipulation and statistical analysis of graphs (AKA networks). The core data structures and algorithms of graph-tool are implemented in C++, making extensive use of metaprogramming, based heavily on the Boost Graph Library. Many algorithms are implemented in parallel using OpenMP, which provides increased performance on multi-core architectures. ==Suitability== Graph-tool can be used to work with very large graphs in a variety of contexts, including simulation of cellular tissue, data mining, analysis of social networks, analysis of P2P systems, large-scale modeling of agent-based systems, theoretical assessment and modeling of network clustering, large-scale call graph analysis, and analysis of the brain's Connectome. ==References== ==External links==
Text derived from https://en.wikipedia.org/w/index.php?oldid=1330306255 under CC BY-SA 4.0; modifications have been made.