good programming skills
Complex networks has become one of the fastest growing branches of science. Methods known from physics, informatics and mathematics found its application to soft sciences like sociology. Social networks have been studied thoroughly because of their importance in innovation, disease spreading and the availability of ICT data. The aim of this thesis is to study the possibility of predicting ego traits and missing links using network science measures and neural networks. The work will use available weighted social network models as benchmarks and ICT data (iWiW, phone).