Explore and analyze large-scale networks with SNAP, Stanford's platform for efficient graph mining, available in C++ and Python for research and development.
Analyze massive networks with powerful graph tools
SNAP, the Stanford Network Analysis Project, offers a robust platform for analyzing and mining large-scale networks. Whether you're working with social graphs, biological networks, or web data, SNAP provides efficient tools to handle massive datasets with millions of nodes and billions of edges.
You can use SNAP in both C++ and Python, making it accessible for developers and researchers alike. The platform includes features for calculating structural properties, generating different types of graphs, and managing node and edge attributes. Tutorials, datasets, and integration with tools like NodeXL help you get started quickly.
If you're interested in network science or need to process complex graph data, SNAP is designed to support your work with scalable, high-performance capabilities and a strong academic foundation.
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