Clustering of social network data by means of kohonen neural networks

Abstract

Social network user profile analysis is becoming an increasingly common source of information. In particular, the profile analysis can be used when hiring young employees. This information is poorly structured and it cannot be statistically analyzed in terms of what social network profile corresponds to a promising employee who has previously been a successful student. In this regard, we have carried out the clustering of these student profiles in the social network using the Kohonen neural network and revealed connections of the clusters with the data concerning the academic performance of students included in these clusters.