Description
Creates, analyzes, and manipulates graphs and complex networks in Python. It is useful for social-network analysis, dependency graphs, routing, scientific models, education, and algorithm experiments.
Large graphs can consume significant memory and time. Results depend on the model and data quality, so important conclusions should be checked against the domain context.