awesome-network-analysis is a curated list of network analysis resources.
The project addresses the challenge of discovering and organizing the scattered landscape of network analysis tools, datasets, and references. It works by collecting resources across multiple domains where network analysis applies, including social networks, biological networks, historical networks, and semantic networks. The list spans software packages, research papers, datasets, and educational materials, organized by category to help practitioners find relevant tools and knowledge for their specific network analysis needs.
Someone evaluating this resource should know it serves as a reference guide rather than a tool for performing analysis itself. It suits researchers, data scientists, and developers who work with network data and need to discover established packages, methodologies, and datasets. The list is particularly valuable for those new to network analysis seeking an overview of the field, as well as experienced practitioners looking to explore tools or approaches outside their primary domain. The resource covers network analysis across diverse applications including social network analysis, disease networks, political networks, and graph theory, making it useful across academic and applied contexts.
The project maintains a stable, well-organized collection with consistent categorization across network analysis domains. The resource is actively curated to reflect the established landscape of network analysis work rather than tracking rapid development cycles.
