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java.lang.Object nz.ac.waikato.mcennis.rat.graph.model.ModelShell nz.ac.waikato.mcennis.rat.graph.algorithm.prestige.ScalableHitsPrestige
public class ScalableHitsPrestige
Class Implementing the HITS algoerithm by a variation of the power metric as
defined in Kleinberg99.
Kleinberg, J. 1999. "Authoritative sources in a hyperlinked environment."
Journal of the ACM. 46(5):604--32.
Field Summary |
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Fields inherited from class nz.ac.waikato.mcennis.rat.graph.model.ModelShell |
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listener |
Constructor Summary | |
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ScalableHitsPrestige()
Creates a new instance of HITSPrestige |
Method Summary | |
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protected double |
error(DoubleMatrix1D newVector,
DoubleMatrix1D oldVector)
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void |
execute(Graph g)
Implements the following algorithm:
Iterate(G,k)
G: a collection of n linked pages
k: a natural number
Let z denote the vector (1, 1, 1, . |
java.util.List<IODescriptor> |
getInputType()
The input type describes all the different kinds of graph objects that are utilized (and hence required) by this object. |
java.util.List<IODescriptor> |
getOutputType()
The output type describes all the different kinds of graph objects that are created during the execution of this algorithm. |
Properties |
getParameter()
List of all parameters this component accepts. |
Parameter |
getParameter(java.lang.String param)
Returns the specific parameter identified by its key-name. |
void |
init(Properties map)
Parameters to be initialized: 'name' - name of this instance of the algorithm. |
ScalableHitsPrestige |
prototype()
All Components implement the prototype pattern. |
Methods inherited from class nz.ac.waikato.mcennis.rat.graph.model.ModelShell |
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addListener, fireChange |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Methods inherited from interface nz.ac.waikato.mcennis.rat.graph.model.Model |
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addListener |
Constructor Detail |
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public ScalableHitsPrestige()
Method Detail |
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public void execute(Graph g)
Iterate(G,k)
G: a collection of n linked pages
k: a natural number
Let z denote the vector (1, 1, 1, . . . , 1) Rn .
Set x 0 : z.
Set y 0 : z.
For i 1, 2, . . . , k
Apply the operation to (x i 1 , y i 1 ), obtaining new x-weights x i .
Apply the operation to (x i , y i 1 ), obtaining new y-weights y i .
Normalize x i , obtaining x i .
Normalize y i , obtaining y i .
End
Return (x k , y k ).
execute
in interface Algorithm
g
- graph to be modifiedpublic java.util.List<IODescriptor> getInputType()
Component
getInputType
in interface Component
IODescriptor
public java.util.List<IODescriptor> getOutputType()
Component
getOutputType
in interface Component
IODescriptor
public Properties getParameter()
Component
getParameter
in interface Component
public Parameter getParameter(java.lang.String param)
Component
getParameter
in interface Component
param
- key-name of the parameter
public void init(Properties map)
init
in interface Component
map
- map of the given properties naming parameters and their values in a stringprotected double error(DoubleMatrix1D newVector, DoubleMatrix1D oldVector)
public ScalableHitsPrestige prototype()
Component
prototype
in interface Component
prototype
in interface Algorithm
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