public double getStatistic(NetworkData nd) {
double sum = 0.0;
int relCt = nd.getRelationCount();
for (int ri = 0; ri < relCt; ri++) {
switch (params.type) {
case TYPE_EXPANSIVENESS:
sum += nd.getOutDegreeCentrality(ri, actorIdx);
break;
case TYPE_ATTRACTIVENESS:
sum += nd.getInDegreeCentrality(ri, actorIdx);
break;
default:
sum = Double.NaN;
}
}
return sum;
}
public NetworkMeasure[] newInstances(NetworkData nd) {
// get blockmodel
int nSize = nd.getSize();
NetworkMeasure[] instances = new NetworkMeasure[nSize];
MeasureParams params = new MeasureParams(TYPE_EXPANSIVENESS);
for (int i = 0; i < nSize; i++) {
instances[i] = new IndividualMeasure(params, i);
}
return instances;
}