Analyze graphs and detect network patterns
networkxskillsetup L2★27,559
K-Dense-AI/scientific-agent-skills ↗What it does
Analyze network topology and compute graph algorithms
Best for
Analyzing organizational hierarchies, social networks, or biological interaction networks without custom graph code.
Inputs
- · Node and edge lists
- · Adjacency matrices
- · Edge lists (CSV, GraphML, JSON)
Outputs
- · Centrality measures
- · Shortest paths
- · Community partitions
- · Visualization plots
Requires
- · numpy
- · scipy
- · matplotlib
- · pandas
Preconditions
- · Python 3.8+
Failure modes
- · Out-of-memory on million-node graphs
- · Disconnected components mishandled
Trust signals
- · 1000+ citations (Hagberg et al 2008)
- · Industry-standard library
- · Comprehensive algorithm coverage