46297

Автор(ов): 

4

Параметры публикации
Тип публикации: 
Тезисы доклада
Название: 
Parkinson’s disease: network analysis of publications’ activity
ISBN/ISSN: 
ISSN 1734-5251
Наименование конференции: 
12th World Congress on Controversies in Neurology (CONy 2018, Warsaw, Poland)
Наименование источника: 
Polski Przegląd Neurologiczny
Обозначение и номер тома: 
Supplement A, T. 14
Город: 
Варшава
Издательство: 
Via Medica Journals
Год издания: 
2018
Страницы: 
146-147
Аннотация
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, however, new approaches to their analysis are required. The presented models of network analysis of publications on various aspects of Parkinson’s disease allow to reveal the links between research clusters, rank its importance and track changes. Recently developed network analysis algorithms, including new centrality indices have been applied for publications databases on different aspects of Parkinson’s disease. Articles with keywords “Parkinson’s disease” were analysed. Data were taken from Web of Science publications database and consist of more than 75 000 articles dated from 1980 to 2017. Networks of publications are modeled as graphs, where the nodes are identification numbers (and other information, which can be received from the database), and the edges of the graph carry the information about the citations between them. New approaches and methods of centrality anal- ysis are used to identify pivotal works. The key advantage of these approaches with comparison to existing methods is that we consider long-distance connections as well as special attributes of papers and group influence on them. This allows to detect hidden key publications: while classical measures detect explicit powerful works, our methods also detect works that influence other papers in groups.
Библиографическая ссылка: 
Бульдяев А.В., Алескеров Ф.Т., Хуторская О.Е., Ямилов А.И. Parkinson’s disease: network analysis of publications’ activity / Polski Przegląd Neurologiczny. Варшава: Via Medica Journals, 2018. Supplement A, T. 14. С. 146-147.