- Red dots represent GovTech 100 companies for 2019.
- Grey dots represent investment firms and angel investors.
New metrics on company and investor profiles include:
| Metric | Description |
|---|---|
| Degree | Degree centrality is the simplest of the centrality metrics, counting the number of connections an element has. In general, elements with high degree are the local connectors / hubs, but aren't necessarily the best connected to the wider network. |
| Closeness centrality | Closeness measures the distance each element is from all other elements. In general, elements with high closeness can spread information to the rest of the network most easily and usually have high visibility into what is happening across the network. |
| Betweenness centrality | Betweenness centrality measures how many times an element lies on the shortest path between two other elements. In general, elements with high betweenness have more control over the flow of information and act as key bridges within the network. They can also be potential single points of failure. |
| Size | Size measures the number of neighbors an elements has (plus the element itself). It's similar to degree, but counts the number of elements instead of connections. |
| Indegree | Indegree measures the number of incoming connections for an element. In general, elements with high indegree are the leaders, looked to by others as a source of advice, expertise, or information. |
| Outdegree | Outdegree measures the number of outgoing connections for an element. In general, elements with high outdegree can reach a high number of elements and spark the flow of information across a network (but may not be the most efficient at spreading the information). |
