mean_force

This force takes the mean of all the neighbors (in the graph sense) of a
particle (and optionally itself) and applies it to itself.

datasets

Simulating particle movement in 2D space has many application. The
'particles' package implements a particle simulator based on the ideas
behind the 'd3-force' 'JavaScript' library. 'particles' implements all
forces defined in 'd3-force' as well as others such as vector fields, traps,
and attractors.

Thomas Pedersen

particles

A Graph Based Particle Simulator Based on D3-Force

Thomas Lin Pedersen

Andrei Kashcha

mean_force function

The following parameters defines the training of the force and can be passed
along a call to <code>wield()</code><ul>
<li><code>include_self</code> : Should the velocity of itself be included in the mean
calculation</li>
<li><code>mode</code> : How should neighbors be found? <code>'all'</code> uses all edges. <code>'out'</code>
only uses outbound edges, and <code>'in'</code> only uses inbound edges. Ignored for
undirected particle graphs</li>
</ul>

Training parameters

Apply the mean velocity of all the neighbors to a particle — mean_force

The following parameters defines the training of the force and can be passed
along a call to <code>wield()</code><ul>
<li><code>include_self</code> : Should the velocity of itself be included in the mean
calculation</li>
<li><code>mode</code> : How should neighbors be found? <code>'all'</code> uses all edges. <code>'out'</code>
only uses outbound edges, and <code>'in'</code> only uses inbound edges. Ignored for
undirected particle graphs</li>
</ul>

mean_force: Apply the mean velocity of all the neighbors to a particle

Description

Arguments

Training parameters

See Also