Struct LpaWbPlus 

pub struct LpaWbPlus {
    pub row_labels: Vec<Option<u32>>,
    pub column_labels: Vec<Option<u32>>,
    pub modularity: f64,
}

Holds the result of the modularity computation (LPAwb+ algorithm).

Fields

• row_labels: Assigned module for each row node (red nodes).
• column_labels: Assigned module for each column node (blue nodes).
• modularity: The computed modularity score.

Example

use oxygraph::modularity::{LpaWbPlus, lpa_wb_plus};
use ndarray::array;

let matrix = array![[1.0, 0.0], [0.0, 1.0]];
let result = lpa_wb_plus(&matrix, None);
println!("Modularity score: {}", result.modularity);

Fields

row_labels: Vec<Option<u32>>

column_labels: Vec<Option<u32>>

modularity: f64

Implementations

impl LpaWbPlus

pub fn plot( &mut self, int_mat: InteractionMatrix, ) -> Option<BTreeMap<usize, Vec<(String, String)>>>

Plots the module assignments on an interaction matrix.

Arguments

• int_mat: An InteractionMatrix from which this modularity was calculated.

Returns

Optionally returns a map of modules to lists of species pairs (parasite x host).

Example

use oxygraph::modularity::lpa_wb_plus;
use oxygraph::int_matrix::InteractionMatrix;
use ndarray::array;

let matrix = array![
    [1.0, 0.0],
    [0.0, 1.0]
];

let mut lpa_result = lpa_wb_plus(&matrix, None);

let int_mat = InteractionMatrix {
    inner: matrix.clone(),
    rownames: vec!["P1".into(), "P2".into()],
    colnames: vec!["H1".into(), "H2".into()],
};

lpa_result.plot(int_mat);

Trait Implementations

impl Debug for LpaWbPlus

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.