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Inventory reference ISSN 1812-7231 Klin.inform.telemed. Volume 9, Issue 10, 2013, Pages 141-144


Author(s) D. V. Lande, I. V. Gorbov, I. V. Balagura


Institution(s)

Institute for information recording of NAS of Ukraine, Kiev


Article title Characteristics in co-author network of medical sciences


Abstract (resume)

The aim of the paper is to investigate main characteristics and features of co-author network of medical sciences and to recognize important nodes. Co-author network in areas of "Medicine. Medical sciences" of the Ukrainika naukova abstract database is studied in the work. There is shown that applying of nodes centrality characteristics allow to determine authors of scientific works which are heads of scholar schools, made a significant contribution and support communication between scientific teams. The improved degree centrality is proposed and tested. This coefficient modifies nodes weights with equal links.


Keywords the Ukrainika naukova abstract database, complex networks, co-author networks, centrality, medical sciences


References

1. Bukvova, H. Studying Research Collaboration: A Literature Review [електронний ресурс] Sprouts: Working Papers on Information Systems. 2010 N10(3). P. 1–19. Режим доступу: http://sprouts.aisnet.org/10-3

2. Д. В. Ландэ, А. А. Снарский, И. В. Безсуднов Интернетика: Навигация в сложных сетях: модели и алгоритмы. M.: Либроком, 2009. 264 с.

3. Latapy M. Main-memory Triangle Computations for Very Large (Sparse (PowerLaw)). Graphs, in Theoretical Computer Science (TCS). 2008 V.407 N1–3, P. 458-473.

4. З. В. Апанович, П. С. Винокуров, Т. А. Кислицина Средства визуального анализа информационного наполнения порталов, входящих в облако Linked Open Data. Труды 13-й Всеросийской научной конференции "Электронные библиотеки: перспективные методы и технологии, электронные коллекции". RCDL'2011, Воронеж, Россия, 19–22 октября 2011 г. CEUR, 2011 V. 803 P. 113–120.

5. Tore Opsahl, Filip Agneessens, John Skvoretz. Node centrality in weighted networks: Generalizing degree and shortest paths. Social Networks. 2010. Vol.32, N 3. P. 245–251.

6. Abbasi Alireza, Hossain Liaquat, Loet Leydesdorff. Betweenness centrality as a driver of preferential attachment in the evolution of research collaboration networks. Journal of Informetrics. 2012. Vol. 6, N 3. P. 403–412.

7. Д. В. Ланде, І. В. Балагура Наукометричні дослідження мереж співавторства по базі даних "Україніка наукова". Реєстрація, зберігання і обробка даних. 2012, Т.14, N4 –с. 41–51.

8. Star X. Zhao, Ronald Rousseau, Fred Y. Ye H-Degree as a basic measure in weighted networks. Journal of Informetrics. 2011. Vol.5, N 4. P. 668–677.

9. Xiangbin Yan, Li Zhai, Weiguo Fan C-index: A weighted network node centrality measure for collaboration competence. Journal of Informetrics. 2013. Vol.7, N 1. P. 223–239.

10. Реферативна база даних "Україніка наукова" [електронний ресурс]. Режим доступу: http://nbuv.gov.ua/db/ref.html


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