Package es.uam.eps.ir.relison.diffusion.selections

Class PureRecommenderSelectionMechanism<U extends java.io.Serializable,I extends java.io.Serializable,P>

java.lang.Object

es.uam.eps.ir.relison.diffusion.selections.AbstractSelectionMechanism<U,I,P>

es.uam.eps.ir.relison.diffusion.selections.CountSelectionMechanism<U,I,P>

es.uam.eps.ir.relison.diffusion.selections.PureRecommenderSelectionMechanism<U,I,P>

Type Parameters:

U - type of the users.

I - type of the information.

P - type of the parameters.

All Implemented Interfaces:

SelectionMechanism<U,I,P>

public class PureRecommenderSelectionMechanism<U extends java.io.Serializable,I extends java.io.Serializable,P>
extends CountSelectionMechanism<U,I,P>

Selects information pieces to propagate depending on the original users and whether they have been propagated through recommended links. A user can only propagate an information piece owned by another user if it comes from one of such links.

Field Summary

Fields

Modifier and Type	Field	Description
private EdgeOrientation	orientation	Neighborhood the information pieces come from.

Fields inherited from class es.uam.eps.ir.relison.diffusion.selections.CountSelectionMechanism

rng

Constructor Summary

Constructors

Constructor	Description
PureRecommenderSelectionMechanism(int numOwn, int numPropagate, int numRepr, EdgeOrientation orientation)	Constructor.
PureRecommenderSelectionMechanism(int numOwn, int numPropagate, EdgeOrientation orientation)	Constructor.

Method Summary

Modifier and Type	Method	Description
protected java.util.List<PropagatedInformation>	getReceivedInformation(UserState<U> user, Data<U,I,P> data, SimulationState<U,I,P> state, int numIter, java.lang.Long timestamp)	Obtains the list of received information pieces to repropagate.

Methods inherited from class es.uam.eps.ir.relison.diffusion.selections.CountSelectionMechanism

getNumOwn, getNumReceived, getNumRepropagate, getOwnInformation, getPropagatedInformation, getRepropagatedInformation

Methods inherited from class es.uam.eps.ir.relison.diffusion.selections.AbstractSelectionMechanism

getSelectableUsers, select

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Details

orientation

private final EdgeOrientation orientation

Neighborhood the information pieces come from. In case of IN, information comes from the followers of the users. In case of OUT (usual) from the followees. Finally, in case of UND, from any of them.

Constructor Details

PureRecommenderSelectionMechanism

public PureRecommenderSelectionMechanism(int numOwn, int numPropagate, EdgeOrientation orientation)

Constructor.

Parameters:

numOwn - number of own information pieces to propagate for each user and iteration.

numPropagate - number of received information to propagate for each user and iteration.

orientation - neighborhood the information pieces come from

PureRecommenderSelectionMechanism

public PureRecommenderSelectionMechanism(int numOwn, int numPropagate, int numRepr, EdgeOrientation orientation)

Constructor.

Parameters:

numOwn - number of own information pieces to propagate for each user and iteration.

numPropagate - number of received information to propagate for each user and iteration.

numRepr - number of propagated information pieces to propagate for each user and iteration.

orientation - neighborhood the information pieces come from

Method Details

getReceivedInformation

protected java.util.List<PropagatedInformation> getReceivedInformation(UserState<U> user, Data<U,I,P> data, SimulationState<U,I,P> state, int numIter, java.lang.Long timestamp)

Description copied from class: AbstractSelectionMechanism

Obtains the list of received information pieces to repropagate.

Overrides:

getReceivedInformation in class CountSelectionMechanism<U extends java.io.Serializable,I extends java.io.Serializable,P>

Parameters:

user - the user to analyze.

data - the full data.

state - the iteration number.

numIter - number of the iteration.

timestamp - the timestamp for the current simulation.

Returns:

a selection of the received information pieces to be propagated.