Affiliations based bibliometric analysis of publications on Parkinson’s Disease-Reference-Cited by-同舟云学术

Affiliations based bibliometric analysis of publications on Parkinson’s Disease

Published:2023-07-10 Issue: Volume: Page:
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Author:

Aleskerov Fuad¹,Khutorskaya Olga²,Yakuba Vuacheslav²,Stepochkina Anna¹,Zinovyeva Ksenia¹

Affiliation:

1. National Research University Higher School of Economics

2. V. A. Trapeznikov Institute of Control Sciences

Abstract

Abstract Parkinson’s Disease is the second most common neurodegenerative disorder in the world. Thousands of scientific works are published every year. We have analyzed more than 3 thousand organizations, who have published works on various aspects of Parkinson’s Disease in the period from 2015 to 2021. We have evaluated 4 classical centrality indices (In-degree, Eigenvector, Pagerank and Betweenness) and 2 new centrality indices. The new indices allow to take into account group influence and to identify pivotal nodes. Using the method, we have extracted the most influential organizations in the scientific area of Parkinson’s Disease. Stability analysis allows us to measure the value of dynamic changes in the network during the period under consideration.

Publisher

Research Square Platform LLC

Reference17 articles.

1. Aleskerov F, Khutorskaya O, Buldyaev A, Yamilov A (2018), May Parkinson's disease: Network analysis of publications' impact. In 2018 7th International Conference on Computers Communications and Control (ICCCC) (pp. 82–85). IEEE

2. Aleskerov F, Shvydun S (2019) Stability and similarity in networks based on topology and nodes importance. In Complex Networks and Their Applications VII: Volume 1 Proceedings The 7th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2018 7 (pp. 94–103). Springer International Publishing

3. Aleskerov F, Yakuba V (2020) Matrix-vector approach to construct generalized centrality indices in networks. // SSRN 3597948. Available at: https://ssrn.com/abstract=3597948

4. Network analysis of publications on studies of Parkinson Disease;Aleskerov F;Procedia Comput Sci,2023

5. Factoring and weighting approaches to status scores and clique identification;Bonacich P;J Math Sociol,1972