Analysis of Formats of Young People’s Communicative Behavior in Social Network

The research is devoted to the analysis and classification of young people's communicative behavior in social network. We define this behavior as information provided within the user's profiles in the social network. To classify young people's communicative behavior we use the scales of Ego-structure test (by G. Ammon). The neural networks are used for classification. The paper describes the feature extraction process for neural network training. The features are based on the information provided within the user's profiles. The experimental results for different classifiers are given. The analysis of the used classification is conducted and directions of future work are described.