Here is a graph of how your data is connected. Any nodes linked by an edge show up in the same row in your input data. Your network graph has 903 nodes and 655 edges.

It looks like your two columns have two totally different types of nodes. We think this is a bipartite graph. We’ve gone ahead and colored each node based on what column it's in.

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the connector

Barbara Allen

This node has the highest betweenness centrality score. The most nodes can go through Barbara Allen to connect to others in the network.

What do I do next?

Understanding relationships as nodes and edges in a network can lead to deeper insights about how information travels through the system. For example, what role does Barbara Allen, the Connector, play in the network?

You can start to look for patterns in the nodes that are the most and least connected. For example, is it significant that Arkansas Traveler has the 2nd highest number of connections but is ranked 7th for betweenness centrality? Why does Eugene Wise, with guitars by Oscar Lewis and Amzie Byrd have the fewest connections?

Being curious about these measures and patterns is the first step in understanding network data. Check out our activity guide for more help on analyzing network data.

Try these other tools to do more full-fledged analysis: