The Complex networks field of science has become one of the fastest developping branch of science along with big data. Though a sizable part of the hype was fruitless, there are areas where the combination of big data and complex networks may yield interesting results, usefull for other scientists.  The question we ask in this thesis work is whether there is any correlation between the election vote results and underlying social network structure. The aim is to consider different network measures and try to find any correlation with the results of the elections. We are also planning to use machine learning methods to point out such correlations.