An Introduction to Network Analysis and Representation is an interactive learning resource for exploring network data made of nodes and edges. You can switch between examples such as random graphs, character relationships in literature, and transportation networks to observe different structures.
The tool lets you experiment with force-directed layouts, gravity, link attraction, node repulsion, degree-based sizing, centrality, clustering coefficients, path finding, and ego networks. It is useful for learning how network diagrams are formed and what common network metrics mean through direct interaction.
