/* * Copyright (c) 2013 LDBC * Linked Data Benchmark Council (http://ldbc.eu) * * This file is part of ldbc_socialnet_dbgen. * * ldbc_socialnet_dbgen 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. * * ldbc_socialnet_dbgen 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 ldbc_socialnet_dbgen. If not, see <http://www.gnu.org/licenses/>. * * Copyright (C) 2011 OpenLink Software <bdsmt@openlinksw.com> * All Rights Reserved. * * This program 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; only Version 2 of the License dated * June 1991. * * 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, write to the Free Software * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA. */ package ldbc.snb.datagen.generator.distribution; import ldbc.snb.datagen.generator.DatagenParams; import ldbc.snb.datagen.generator.distribution.utils.Bucket; import ldbc.snb.datagen.generator.distribution.utils.BucketedDistribution; import org.apache.hadoop.conf.Configuration; import java.io.BufferedReader; import java.io.IOException; import java.io.InputStreamReader; import java.util.ArrayList; import java.util.Random; /** * This class generates Facebook-like social degree distribution * <p/> * A. Preparation * For a specific social network size (total number of users) * 1) compute the mean value of social degree * 2) compute the range of each bucket (100 buckets) using the data from facebookBucket100.dat * B. Generate social degree for each user * 1) Determine the bucket (Take a random number from 0-99) * 2) Randomly select a social degree in the range of that bucket */ public class FacebookDegreeDistribution extends BucketedDistribution { private int mean_ = 0; private static final int FB_MEAN_ = 190; private static final int BUCKET_NUM_ = 100; private ArrayList<Bucket> buckets_; public FacebookDegreeDistribution() { } @Override public ArrayList<Bucket> getBuckets(Configuration conf) { mean_ = (int) Math.round(Math.pow(DatagenParams.numPersons, (0.512 - 0.028 * Math.log10(DatagenParams.numPersons)))); System.out.println("Mean = " + mean_); buckets_ = new ArrayList<Bucket>(); loadFBBuckets(); rebuildBucketRange(); return buckets_; } public void loadFBBuckets() { try { BufferedReader fbDataReader = new BufferedReader( new InputStreamReader(getClass().getResourceAsStream(DatagenParams.fbSocialDegreeFile), "UTF-8")); String line; while ((line = fbDataReader.readLine()) != null) { String data[] = line.split(" "); buckets_.add(new Bucket(Float.parseFloat(data[0]), Float.parseFloat(data[1]))); } fbDataReader.close(); } catch (IOException e) { e.printStackTrace(); } catch (Exception e) { e.printStackTrace(); } } public void rebuildBucketRange() { double newMin, newMax; for (int i = 0; i < buckets_.size(); i++) { newMin = buckets_.get(i).min() * mean_ / FB_MEAN_; newMax = buckets_.get(i).max() * mean_ / FB_MEAN_; if (newMax < newMin) newMax = newMin; buckets_.get(i).min(newMin); buckets_.get(i).max(newMax); } } }