Cogito’s graph analytics provide tools to determine patterns of interaction between actors and groups in social networks and answer questions such as:
• What subgroups exist in the network?
• How do these subgroups interact with each other?
• What is the overall structure of the network?
• What are the roles (central/peripheral) of network members?
Cogito’s graph analytics includes the following key measures of network centrality:
| Degree |
A count of the number of arcs terminating at each node. |
| Closeness |
The ratio of the number of nodes in the graph over the sum of the shortest paths between the given node and all other connected nodes. |
| Betweenness |
The ratio, for each node, of the number paths between two other nodes that pass through the node over the number of paths between the two other nodes. |
| Bridging |
The product of the betweenness centrality and the bridging coefficient of the node. |
Key Benefits:
- Evaluate social networks for groups and roles
- See how individuals and groups are interrelated
- Quantify centrality factors
- Determine key players, spanners and central figures
Top Features:
- Calculate centrality on entire graphs or subgraphs
- Numerical scores for betweenness, degree, distance, bridging, and closeness

The table above shows the how efficient a graph database is when compared to a relational database for basic Centrality calculations.
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