@Override
public void analyze(Graph g, Map<String, DescriptiveStatistics> statsMap) {
int sumMale = 0;
int cntMale = 0;
int sumFemale = 0;
int cntFemale = 0;
TObjectDoubleHashMap<Vertex> values = module.values(g.getVertices());
TObjectDoubleIterator<Vertex> it = values.iterator();
for (int i = 0; i < values.size(); i++) {
it.advance();
SocialVertex v = (SocialVertex) it.key();
double k = it.value();
if (v.getPerson().getPerson().getSex() != null) {
if (v.getPerson().getPerson().getSex().equalsIgnoreCase("m")) {
sumMale += k;
cntMale++;
} else if (v.getPerson().getPerson().getSex().equalsIgnoreCase("f")) {
sumFemale += k;
cntFemale++;
}
}
}
double k_mean_male = sumMale / (double) cntMale;
double k_mean_female = sumFemale / (double) cntFemale;
logger.info(
String.format("k_mean_male = %1$s, k_mean_female = %2$s.", k_mean_male, k_mean_female));
}
@SuppressWarnings("unchecked")
public PajekClusteringColorizer(Graph g) {
super();
clustering = Transitivity.getInstance().localClusteringCoefficients((Set<V>) g.getVertices());
c_min = StatUtils.min(clustering.getValues());
c_max = StatUtils.max(clustering.getValues());
}