Skip to main content
It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.
- Degree (when directed, in-degree and out-degree)
This is a numerical node variable. It is the number of edges connected to a particular node. Gephi calculates degree automatically.
This is a property of the whole network, not a single node or edge. It is the number of links between the two nodes in the network that are the farthest apart.
- Betweenness Centrality
This is a numerical node variable. It is a measure of how often a node appears on shortest paths between nodes in the network.
- Closeness Centrality
This is a numerical node variable. It is the average distance from a given node to all other nodes in the network.
This is a numerical node variable. It is the distance from a given node to the farthest node from it in the network.
This is a property of the whole network. It is the ratio between the number of edges and the total number of possible edges between the nodes.
Measures how well a network decomposes into modular communities. This algorithm will calculate an overall modularity score for the network, as well as assign each node to a separate cluster that will appear as a variable suitable for partion coloring.
ProTip: Save output of window for record keeping. Gephi allows you to print, copy, or save the content of the reporting window.