Work of any researcher involves a continuous need to obtain information on research topics over the world. It is important to understand what has already been done and what is most relevant in the research area. Such kind of information can be obtained using huge knowledge bases, however, new approaches to their analysis are required. Application of recently developed models of network analysis combined with semantic analysis methods for publications related to Parkinson’s disease allows to reveal the links between research clusters, rank their importance and attract scientific groups’ attention to, for instance, previously unknown studies and developments.
