C# Class TemporalNetworks.RandomWalk

A class that can be used to study random walk dynamics in temporal networks

Show file Open project: IngoScholtes/TemporalNetworks Class Usage Examples

Public Methods

Method	Description
GetLastVisit ( string node ) : int
GetMaxVisitationProb ( ) : double
GetMinVisitationProb ( ) : double
GetVisitationProb ( string node ) : double
RandomWalk ( TemporalNetwork network, RandomWalkMode walkmode ) : System	Creates an instance of a random walk process
Step ( ) : void	Performs one transition of the random walk process.

Private Methods

Method	Description
ComputeStationaryDist ( ) : double>.Dictionary	Computes the expected stationary distribution of a random walk in the weighted aggregate network NOTE: At present, this implementation only works correctly if the network is undirected!
InitializeCumulatives ( ) : void	Initializes all vectors that will be used for sampling transition probabilities in first and second-order network
StringToTuple ( string edge ) : string>.Tuple	Convert an edge in string format to tuple format
TupleToString ( string>.Tuple edge ) : string	Convert an edge in tuple format to string format

Method Details

GetLastVisit() public method

public GetLastVisit ( string node ) : int
node	string
return	int

GetMaxVisitationProb() public method

public GetMaxVisitationProb ( ) : double
return	double

GetMinVisitationProb() public method

public GetMinVisitationProb ( ) : double
return	double

GetVisitationProb() public method

public GetVisitationProb ( string node ) : double
node	string
return	double

RandomWalk() public method

Creates an instance of a random walk process

public RandomWalk ( TemporalNetwork network, RandomWalkMode walkmode ) : System
network	TemporalNetwork
walkmode	RandomWalkMode
return	System

Step() public method

Performs one transition of the random walk process.

public Step ( ) : void
return	void