layout_network

Attracts nodes to the center. Prevents islands from drifting away.

The amount of repulsion. Greater values lead to a larger and more sparse graph.

Algorithmic “resolution”. Greater values lead to faster execution at the expense of less precise calculations.

Values must be in the following range:

0.0 ≤ barnesHutTheta ≤ 2.0

Prefer authorities over hubs. Prefer “authorities” (nodes with a high indegree) over hubs (nodes with a high outdegree). Authorities will have more central and hubs more peripheral positions. (default=false).

Usually produces tighter clusters. Enabling it may also require adjusting the scalingRatio.

Try to avoid overlap between nodes.

The more the better, though it will take longer.

How much space to (try and) give each node in the final layout.

Values must be in the following range:

1.0 ≤ nodeSize < inf

Links with weights below this value will be ignored.

Values must be in the following range:

0.0 ≤ ignoreWeightsBelow < inf

Normalize weights to the range [0, 1].