Diagrams
Interactive
Network Diagram
Network diagrams (graph visualizations) display nodes and the connections (edges) between them. They reveal structure in relationship data, including clusters, central nodes, and isolated elements. Modern implementations support interactive exploration of complex networks.
Example Visualization
Try this prompt
"Create an interactive network diagram showing a 'Social Media Influence Network' with 30 nodes representing users. Generate realistic network data with 3-4 community clusters (influencers, content creators, casual users, brands). Size nodes by 'Follower Count' (100 to 1M range, use log scale). Color nodes by 'User Type': Influencers (gold), Creators (blue), Brands (green), Users (gray). Edge thickness represents interaction frequency. Use force-directed layout (spring layout) for organic clustering. Add hover tooltips showing username, followers, and post count. Highlight the top 5 most connected nodes. Include a legend and network statistics (nodes, edges, avg degree). Interactive: click to highlight ego network."
Generate this nowPython Code Example
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Common Use Cases
- 1Social network analysis
- 2Citation networks
- 3Infrastructure mapping
- 4Knowledge graphs
Pro Tips
Size nodes by importance metrics
Color by community/cluster
Use force-directed layouts for organic arrangement