NetworkX is a Python language software package for the creation, manipulation,
and study of the structure, dynamics, and function of complex networks.
NetworKit is an open-source Python module for analyzing large-scale networks (thousands to billions of edges)
Graphviz is open source graph visualization software. Graph visualization is a way of
representing structural information as diagrams of abstract graphs and networks.
SNAP - Stanford Network Analysis Project is a library written in C++ for network analysis and graph mining. It efficiently manipulates large graphs with hundreds of millions of nodes,
and billions of edges, calculates structural properties, generates regular and random graphs, and supports attributes on nodes and edges. Most of the SNAP C++ functionality is also available in Python
yEd Graph Editor is a powerful desktop application that can be used to quickly and effectively generate high-quality diagrams and graphs.
With yEd you can create diagrams manually, or import external data for analysis.
Datasets
Stanford Large Network Dataset Collection: A collection of 50+ large network datasets from tens of thousands of nodes and edges to tens of millions of nodes and edges, including social networks, web graphs, road networks,
internet networks, citation networks, collaboration networks, and communication networks.
Pajek datasets: Citation networks, biology, protein interactions, collaboration networks.
CAIDA - Center for Applied Internet Data Analysis: Is a collaborative undertaking among organizations in the commercial, government,
and research sectors aimed at promoting greater cooperation in the engineering and maintenance of a robust, scalable global Internet infrastructure.