int main(int argc, char **argv)
{
char input_filename[NAMELENGTH+1];
char quantityname[NAMELENGTH+1];
char output_type[NAMELENGTH+1];
int numberofbins, numberofbins_logbinned;
if(argc > 3)
{
sprintf(input_filename, "%s", argv[1]);
sscanf(argv[2], "%d", &numberofbins);
sscanf(argv[3], "%d", &numberofbins_logbinned);
printf("Number of bins for linear binning : %d\n", numberofbins);
printf("Number of bins for logarithmic binning : %d\n", numberofbins_logbinned);
readEdgeWeightData(input_filename);
allocateMemoryForNodeAttribute(numberofnodes);
determineNodeDegree(nodedegree, sourcenodeid, targetnodeid, numberofedges);
sprintf(quantityname, "endpointdegree");
sprintf(output_type, "edges");
allocateMemoryForEdgeAttribute(numberofedges);
determineEdgeDegree(edgedegree, sourcenodeid, targetnodeid, numberofedges, nodedegree);
writeEdgeAttribute(edgedegree, numberofedges, quantityname, output_type);
determineExtremumValuesOfDoubleTypeQuantity(&minedgedegree, &maxedgedegree, edgedegree, numberofedges);
printf("Minimum edge-degree : %.0lf\n", minedgedegree);
printf("Maximum edge-degree : %.0lf\n", maxedgedegree);
sprintf(quantityname, "endpointdegree_averageweight.linbinned");
sprintf(output_type, "plot");
allocateMemoryForGlobalMeasurementLinearBinned(numberofbins);
determineAverageQuantityWithRespectToDegreeLinearBinned(averageedgeweight, edgedegreedistribution, newedgedegree,
edgeweight, minedgedegree, maxedgedegree, edgedegree, numberofedges, numberofbins);
writeAverageQuantityBinned(averageedgeweight, edgedegreedistribution, newedgedegree,
numberofbins, quantityname, output_type);
sprintf(quantityname, "endpointdegree_averageweight.logbinned");
sprintf(output_type, "plot");
allocateMemoryForGlobalMeasurementLogarithmicBinned(numberofbins_logbinned);
determineAverageQuantityWithRespectToDegreeLogarithmicBinned(averageedgeweight_logbinned, edgedegreedistribution_logbinned, newedgedegree_logbinned,
edgeweight, minedgedegree, maxedgedegree, edgedegree, numberofedges, numberofbins_logbinned);
writeAverageQuantityBinned(averageedgeweight_logbinned, edgedegreedistribution_logbinned, newedgedegree_logbinned,
numberofbins_logbinned, quantityname, output_type);
freeMemoryOfGlobalMeasurementLogarithmicBinned();
freeMemoryOfGlobalMeasurementLinearBinned();
freeMemoryOfEdgeAttribute();
freeMemoryOfNodeAttribute();
}
else
printf("Error: Insufficient number of inputs\n");
return 0;
}
int main(int argc, char **argv)
{
char input_filename[NAMELENGTH+1];
char quantityname[NAMELENGTH+1];
char output_type[NAMELENGTH+1];
int numberofbins;
if(argc > 2)
{
sprintf(input_filename, "%s", argv[1]);
sscanf(argv[2], "%d", &numberofbins);
readEdgeWeightData(input_filename);
sprintf(quantityname, "clusteringcoefficient");
sprintf(output_type, "nodes");
allocateMemoryForNodeAttribute(numberofnodes);
determineNodeDegree(nodedegree, sourcenodeid, targetnodeid, numberofedges);
determineNodeStrength(nodestrength, sourcenodeid, targetnodeid, edgeweight, numberofedges);
allocateMemoryForConnectivity(nodedegree, numberofnodes);
constructConnectivity(nodeneighborid, nodeneighboredgeid, nodedegree, numberofnodes, sourcenodeid, targetnodeid, numberofedges);
determineNodeClusteringCoefficient(nodeclusteringcoefficient, nodeneighborid, nodeneighboredgeid, nodedegree, nodestrength, numberofnodes, edgeweight);
writeNodeAttribute(nodeclusteringcoefficient, numberofnodes, quantityname, output_type);
determineExtremumValuesOfIntegerTypeQuantity(&minnodedegree, &maxnodedegree, nodedegree, numberofnodes);
printf("Minimum node-degree : %d\n", minnodedegree);
printf("Maximum node-degree : %d\n", maxnodedegree);
sprintf(quantityname, "degree_averageclusteringcoefficient.linbinned");
sprintf(output_type, "plot");
allocateMemoryForGlobalMeasurementLinearBinned(minnodedegree, maxnodedegree);
determineAverageQuantityWithRespectToDegreeLinearBinned(averagenodeclusteringcoefficient, nodedegreedistribution, nodeclusteringcoefficient,
minnodedegree, maxnodedegree, nodedegree, numberofnodes);
writeAverageQuantityWithRespectToDegreeLinearBinned(averagenodeclusteringcoefficient, nodedegreedistribution, minnodedegree, maxnodedegree, quantityname, output_type);
sprintf(quantityname, "degree_averageclusteringcoefficient.logbinned");
sprintf(output_type, "plot");
allocateMemoryForGlobalMeasurementLogarithmicBinned(numberofbins);
determineAverageQuantityWithRespectToDegreeLogarithmicBinned(averagenodeclusteringcoefficient_logbinned, nodedegreedistribution_logbinned, newnodedegree_logbinned,
nodeclusteringcoefficient, minnodedegree, maxnodedegree, nodedegree, numberofnodes, numberofbins);
writeAverageQuantityWithRespectToDegreeLogarithmicBinned(averagenodeclusteringcoefficient_logbinned, nodedegreedistribution_logbinned, newnodedegree_logbinned,
numberofbins, quantityname, output_type);
freeMemoryOfGlobalMeasurementLogarithmicBinned();
freeMemoryOfGlobalMeasurementLinearBinned();
freeMemoryOfConnectivity(numberofnodes);
freeMemoryOfNodeAttribute();
}
else
printf("Error: Insufficient number of inputs\n");
return 0;
}