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graph-force
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rank dampening

This commit is contained in:
Niko Abeler 2022-11-18 21:09:35 +01:00
parent e83d63eb85
commit a2244ed58c
1 changed files with 18 additions and 2 deletions
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20
src/my_model.rs
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@ -2,6 +2,7 @@ use crate::graph::{EdgeMatrix, NodeVector, Node};
pub struct MyModel {
edges: EdgeMatrix,
ranks: Vec<f32>,
size: usize,
opt_dist: f32,
c: f32,
@ -13,7 +14,22 @@ impl MyModel {
pub fn new(edges: EdgeMatrix, size: usize, iterations: usize) -> MyModel {
let opt_dist = 1.0 / (size as f32).sqrt();
let c = 0.1;
MyModel{ edges, size, opt_dist, c: c , dc: c / ((iterations + 1) as f32) }
let mut ranks = vec![0.0; size];
{
let edges = edges.read().unwrap();
for i in 0..size {
ranks[i] = edges[i].iter().map(|e| e.weight).sum();
}
}
MyModel{
edges,
ranks,
size,
opt_dist,
c: c ,
dc: c / ((iterations + 1) as f32)
}
}
pub fn prepare(& mut self, _nodes: &NodeVector) {
@ -55,7 +71,7 @@ impl MyModel {
node_x -= f_rep_x;
node_y -= f_rep_y;
} else {
let f_spring = self.c * 0.5 * (dist - self.opt_dist);
let f_spring = self.c * 0.5 * (dist - self.opt_dist) / self.ranks[i_node];
let f_spring_x = f_spring * unit_x;
let f_spring_y = f_spring * unit_y;
node_x += f_spring_x;