Class EpidemicSimulationSEIR¶

Inheritance Relationships¶

Class Documentation¶

class EpidemicSimulationSEIR : public NetworKit::Algorithm¶

Node centrality index which ranks nodes by their degree. Optional normalization by maximum degree.

Public Functions

EpidemicSimulationSEIR(const Graph &G, count tMax, double transP, count eTime, count iTime, node zero)¶

Simulates an epidemic spread using the Susceptible-Exposed-Infectious-Removed (SEIR) model.

Parameters:

• G – The network.

• tMax – Max. number of timesteps.

• transP – Transmission probability.

• eTime – Exposed time.

• iTime – Infectious time.

• zero – Starting node.

virtual void run() override¶

The generic run method which calls runImpl() and takes care of setting hasRun to the appropriate value.

const std::vector<std::vector<count>> &getData() const¶

Returns the data from the simulation (only valid after run() was called).

Returns:

Vector of vectors, containing “zero”, “time”, “state” and “count” values for each node.