## Develop your own data-driven Lightning Network insight

#### Discover network-wide statistics on nodes, interactively explore node local networks, measure the impact of opening or closing a channel, and identify potentially profitable paths in the network

### Community tools

### Summary stats

### Current ranks

### Historical ranks

**Step 2: enter or select pubkey/alias of up to 3 nodes with which to simulate adding or removing channels**

### Node centrality ranks

### Centralization scores of the network

### Contact

### Source code

See the code here .

### Betweenness centrality

Betweeness centrality measures the number of shortest paths that pass through a node. A higher number of shortest paths a node has to any two other node in the network, the more likely they will be included in a route depending on the liquidity balance of each channel in the path.

### Closeness/hopness centrality

Closeness/hopness centrality is a measure of how many hops it takes to reach any node on the network from a given node. The better the rank, the fewer the hops required to reach any and all nodes.

### Eigenvector/hubness centrality

Eigenvector/hubness centrality measures influence of a given node in the network. Higher ranks imply a well-connected node that is linked to other well-connected nodes. A lower eigenvector centrality could also imply a new and/or underserved node in the network.

### Maximum liquidity flow

Maximum flow is the highest amount of sats that can theoretically be pushed through a path if liquidity were 100% outbound. In reality, outbound across a path is likely 50% or less.