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GraphAware Framework Module exposing custom graph algorithms as Java and REST APIs
/*
* Copyright (c) 2013-2016 GraphAware
*
* This file is part of the GraphAware Framework.
*
* GraphAware Framework is free software: you can redistribute it and/or modify it under the terms of
* the GNU General Public License as published by the Free Software Foundation, either
* version 3 of the License, or (at your option) any later version.
*
* This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY;
* without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
* See the GNU General Public License for more details. You should have received a copy of
* the GNU General Public License along with this program. If not, see
* .
*/
package com.graphaware.module.algo.generator.distribution;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import static java.lang.Math.min;
/**
* Simple {@link com.graphaware.module.algo.generator.distribution.DegreeDistribution} where the node degrees can be
* directly passed into the constructor.
*/
public class SimpleDegreeDistribution implements DegreeDistribution {
protected final List degrees = new ArrayList<>();
/**
* Create a new distribution.
*
* @param degrees degrees of nodes.
*/
public SimpleDegreeDistribution(List degrees) {
this.degrees.addAll(degrees);
}
/**
* {@inheritDoc}
*/
@Override
public List getDegrees() {
return Collections.unmodifiableList(degrees);
}
/**
* {@inheritDoc}
*/
@Override
public boolean isZeroList() {
for (int degree : degrees) {
if (degree > 0) {
return false;
}
}
return true;
}
/**
* {@inheritDoc}
*/
@Override
public int get(int index) {
return degrees.get(index);
}
/**
* {@inheritDoc}
*/
@Override
public int size() {
return degrees.size();
}
/**
* {@inheritDoc}
*/
@Override
public boolean isValid() {
return passesErdosGallaiTest();
}
/**
* All valid distributions must be graphical. This is tested using Erdos-Gallai condition on degree distribution
* graphicality. (see Blitzstein-Diaconis paper)
*
* @return true iff passes.
*/
private boolean passesErdosGallaiTest() {
MutableDegreeDistribution copy = new MutableSimpleDegreeDistribution(getDegrees());
int L = copy.size();
int degreeSum = 0; // Has to be even by the handshaking lemma
for (int degree : copy.getDegrees()) {
if (degree < 0) {
return false;
}
degreeSum += degree;
}
if (degreeSum % 2 != 0) {
return false;
}
copy.sort(Collections.reverseOrder());
// Erdos-Gallai test
for (int k = 1; k < L; ++k) {
int sum = 0;
for (int i = 0; i < k; ++i) {
sum += copy.get(i);
}
int comp = 0;
for (int j = k; j < L; ++j) {
comp += min(k, copy.get(j));
}
if (sum > k * (k - 1) + comp) {
return false;
}
}
return true;
}
/**
* Havel-Hakimi is a recursive alternative to the Erdos-Gallai condition. This is a looped implementation, the
* algorithm is recursive in nature, but recursion is slower.
*
* Kept as a backup, might be useful as a replacement for E-G eventually.
*
* @return true iff passes.
*/
protected final boolean passesHavelHakimiTest() {
MutableDegreeDistribution copy = new MutableSimpleDegreeDistribution(getDegrees());
int i = 0;
int first;
int L = this.size();
while (L > 0) {
first = copy.get(i);
L--;
int j = 1;
for (int k = 0; k < first; ++k) {
while (copy.get(j) == 0) {
j++;
if (j > L) {
return false;
}
}
copy.set(j, copy.get(j) - 1);
}
copy.set(i, 0);
copy.sort(Collections.reverseOrder());
}
return true;
}
}
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