Analyze complex networks and graphs

Analyze, visualize, and compute graph algorithms on networks (nodes, edges, paths)

Graph analysis and algorithm computation for networks, collaboration, supply-chain, and social-graph problems

• · graph data (adjacency list, edge list, or nodes/edges)
• · algorithm parameters

• · graph statistics
• · algorithm results (shortest path, centrality, clustering)
• · visualization

• · NetworkX (Python graph library)
• · matplotlib/graphviz (optional visualization)

• · graph structure defined
• · NetworkX installed

• · performance degrades on graphs >1M nodes
• · directed vs undirected confusion

• · production graph library
• · extensive algorithm coverage
• · visualization export