[Java]SimRank
有关SimRank请参看文章http://www.cnblogs.com/youwang/archive/2010/02/06/1665105.html,或者去看相关论文。下面是Java代码实现,用到的是webgraph库。
/*
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package cn.edu.dlut.wisdom;
import it.unimi.dsi.fastutil.ints.*;
import it.unimi.dsi.webgraph.*;
/**
*
* @author You Wang
*/
public class SimRank {
private ImmutableGraph graph;
private ImmutableGraph igraph;
private double dampening = 0.85;
private Int2ObjectArrayMap<Int2DoubleArrayMap> scores;
public double getDampening() {
return dampening;
}
public void setDampening(double dampening) {
this.dampening = dampening;
}
public SimRank(ImmutableGraph graph) {
this.graph = graph;
this.igraph = Transform.transpose(graph);
}
public SimRank(ImmutableGraph graph, ImmutableGraph igraph) {
this.graph = graph;
this.igraph = igraph;
}
public void computeSimRank() {
int n = graph.numNodes();
int iter = ((int) Math.abs(Math.log((double) n) / Math.log((double) 10))) + 1;
computeSimRank(iter);
}
public Int2DoubleArrayMap getSimRank(int i) {
return scores.get(i);
}
public Int2ObjectArrayMap getSimRank() {
return scores;
}
public double getSimRank(int i, int j) {
return scores.get(i).get(j);
}
public void computeSimRank(int iter) {
// 初始化
int numNodes = graph.numNodes();
this.scores = new Int2ObjectArrayMap<Int2DoubleArrayMap>(numNodes);
for (int i = 0; i < numNodes; i++) {
Int2DoubleArrayMap aux = new Int2DoubleArrayMap(numNodes);
for (int j = 0; j < numNodes; j++) {
if (i == j)
aux.put(j, 1);
else
aux.put(j, 0);
}
scores.put(i, aux);
}
// 迭代计算
while(iter-- > 0)
{
for(int i = 0; i < numNodes; i++) {
int numInNeighborsi = igraph.outdegree(i);
if(numInNeighborsi == 0)
continue;
int[] inNeighborsi = igraph.successorArray(i);
Int2DoubleArrayMap rimap = scores.get(i);
for(int j = 0; j < numNodes; j++) {
int numInNeighborsj = igraph.outdegree(j);
if(numInNeighborsj == 0)
continue;
int[] inNeighborsj = igraph.successorArray(j);
double rab = 0;
for(int a : inNeighborsi) {
Int2DoubleArrayMap aux = scores.get(a);
for(int b : inNeighborsj) {
rab += aux.get(b);
}
}
rab *= dampening / (numInNeighborsi * numInNeighborsj);
rimap.put(j, rab);
}
}
}
}
}
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