Year of Graduation
Parkinson's Disease: Network Analysis of Publications' Influence in Physiology
Applied Mathematics and Information Science
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 thematic area. Such kind of information can be obtained using huge knowledge bases, which are increasing annually. In this regard, new approaches to their analysis are required, in particular, the recently created models of network analysis. The developed approach allows to reveal links between research clusters, rank their importance and track changes in the direction of research groups. In this paper, the approach is applied to the study of publication activity in the field of physiology and related areas of Parkinson's disease, which is currently incurable.