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/**
*
* This file is part of Tulip (www.tulip-software.org)
*
* Authors: David Auber and the Tulip development Team
* from LaBRI, University of Bordeaux
*
* Tulip is free software; you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License
* as published by the Free Software Foundation, either version 3
* of the License, or (at your option) any later version.
*
* Tulip 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.
*
*/
#include <time.h>
#include <math.h>
#include <climits>
#include <tulip/TulipPluginHeaders.h>
using namespace std;
using namespace tlp;
static const int WIDTH = 1024;
static const int HEIGHT = 1024;
namespace {
const char * paramHelp[] = {
// nodes
HTML_HELP_OPEN() \
HTML_HELP_DEF( "type", "unsigned int" ) \
HTML_HELP_DEF( "default", "100" ) \
HTML_HELP_BODY() \
"Number of nodes in the final graph." \
HTML_HELP_CLOSE(),
// degree
HTML_HELP_OPEN() \
HTML_HELP_DEF( "type", "unsigned int" ) \
HTML_HELP_DEF( "default", "10" ) \
HTML_HELP_BODY() \
"Average degree of the nodes in the final graph." \
HTML_HELP_CLOSE(),
// degree
HTML_HELP_OPEN() \
HTML_HELP_DEF( "type", "bool" ) \
HTML_HELP_DEF( "default", "false" ) \
HTML_HELP_BODY() \
"If true, long distance edges are added in the grid approximation." \
HTML_HELP_CLOSE(),
};
}
/*
* TODO :
* Use a quadtree in order to change the complexity from n*n to n*log(n)
*/
/** \addtogroup import */
/// Grid Approximation - Import of a grid approximation
/** This plugin enables to create a grid approximation
*
* User can specify the number of nodes and their average degree.
*/
class SmallWorldGraph:public ImportModule {
public:
PLUGININFORMATION("Grid Approximation","Auber","25/06/2002","Imports a new grid approximation graph.","1.0","Graph")
SmallWorldGraph(tlp::PluginContext* context):ImportModule(context) {
addInParameter<unsigned int>("nodes",paramHelp[0],"200");
addInParameter<unsigned int>("degree",paramHelp[1],"10");
addInParameter<bool>("long edge",paramHelp[2],"false");
}
~SmallWorldGraph() {}
bool importGraph() {
unsigned int nbNodes = 200;
unsigned int avgDegree = 10;
bool enableLongEdge = false;
if (dataSet!=NULL) {
dataSet->get("nodes", nbNodes);
dataSet->get("degree", avgDegree);
dataSet->get("long edge", enableLongEdge);
}
if (nbNodes == 0) {
if (pluginProgress)
pluginProgress->setError(string("Error: the number of nodes cannot be null"));
return false;
}
if (avgDegree == 0) {
if (pluginProgress)
pluginProgress->setError(string("Error: the average degree cannot be null"));
return false;
}
double maxDistance = sqrt(double(avgDegree)*double(WIDTH)*double(HEIGHT)
/ (double (nbNodes) * M_PI));
// initialize a random sequence according the given seed
tlp::initRandomSequence();
LayoutProperty *newLayout=graph->getLocalProperty<LayoutProperty>("viewLayout");
vector<node> sg(nbNodes);
pluginProgress->showPreview(false);
graph->addNodes(nbNodes, sg);
for (unsigned int i=0; i<nbNodes; ++i) {
newLayout->setNodeValue(sg[i],Coord(static_cast<float>(rand()%WIDTH), static_cast<float>(rand()%HEIGHT), 0));
}
double minSize = DBL_MAX;
for (unsigned int i=0; i<nbNodes-1; ++i) {
bool longEdge =false;
for (unsigned int j=i+1; j<nbNodes; ++j) {
if (i!=j) {
double distance = newLayout->getNodeValue(sg[i]).dist(newLayout->getNodeValue(sg[j]));
minSize = std::min(distance, minSize);
//newSize->setAllNodeValue(Size(minSize/2.0, minSize/2.0, 1));
if ( distance < (double)maxDistance)
graph->addEdge(sg[i],sg[j]);
else if (!longEdge && enableLongEdge) {
double distrand = (double)rand()/(double)RAND_MAX;
if (distrand < 1.0/(2.0+double(nbNodes-i-1))) {
longEdge = true;
graph->addEdge(sg[i],sg[j]);
}
}
}
}
if (((i % 100) == 0) &&
(pluginProgress->progress(i, nbNodes - 1)!=TLP_CONTINUE))
break;
}
return pluginProgress->state()!=TLP_CANCEL;
}
};
PLUGIN(SmallWorldGraph)
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