Research Group "Machine Learning and Social Computing" has arisen from students’ projects and scientific research combining digital social sciences and informatics, which has been developing in our campus since 2013.
The activity of our group is directed towards developing machine learning and network science methods in social computing settings, employed to analyze data from various Social Network sites and other online platforms, where we can observe social interaction between individuals.
Research includes deep exploration of wide-used online systems working with users’ behavior such as recommendation and reputation systems. Using machine learning, network science and ethnography on the preliminary stage, we intend to shed light on current state of research on collaborative systems and social computing and test methods developed during this project in practical settings, such as social networking sites, massively multiplayer online-games, communities of practise and reputation-based systems.