Enum cnetworks::Model

pub enum Model {
    ER {
        p: f64,
        whole: bool,
    },
    BA {
        m0: usize,
        m: usize,
    },
    None,
}

Model decides the algorithm used to connect the nodes during Network’s initialization.

Variants

ER

The Erdos–Renyi random network model.

Fields of ER

p: f64

The probability of connecting any given pair of nodes.

whole: bool

Should the network be in one piece

BA

The Barabasi–Albert preferential attachment model.

Fields of BA

m0: usize

The initial number of clustered nodes.

m: usize

The number of nodes added in each step during network creation. Keep in mind that this should be strictly less or equal m0 and the Barabasi-Albert initialization fuction will panic if this is not the case.

None

Placeholder for a network with no connections.

Trait Implementations

impl Clone for Model

fn clone(&self) -> Model

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for Model

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

Formats the value using the given formatter.