Isbn: 9783032091703 - bibliometric analysis by network models: identifying trends in scientific literature (contemporary systems thinking) (10 resultados)

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Hardcover. Condición: new. Hardcover. The book contains new models of bibliometric analysis based on centrality measures in network analysis, pattern analysis and stability analysis. A distinctive feature of these centrality measures is that they account for the parameters of vertices and group influence of vertices to a vertex. This reveals specific groups of publications, authors, terms, journals and affiliations of the authors depending on different parameters of publications. Pattern analysis and stability analysis allow the tendencies in developing of the field of research over years to be revealed. These new models are illustrated by an analysis of 39,811 articles on various aspects of Parkinsons disease, published between 2015 and 2021. This methodology can be useful for researchers of any scientific domain, because it enables them to identify key and actively developing trends as well as major players in the field. Moreover, this approach allows to determine main tendencies in the entire research community as well as in the specific parts of it that may have gone unnoticed before. The obtained results of the analysis are useful not only for researchers but also for journals, editorial teams, scientific organizations, and investors. mso-ansi-language: EN-US;">The book contains new models of bibliometric analysis based on centrality measures in network analysis, pattern analysis and stability analysis. Pattern analysis and stability analysis allow the tendencies in developing of the field of research over years to be revealed. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book contains new models of bibliometric analysis based on centrality measures in network analysis, pattern analysis and stability analysis. A distinctive feature of these centrality measures is that they account for the parameters of vertices and group influence of vertices to a vertex. This reveals specific groups of publications, authors, terms, journals and affiliations of the authors depending on different parameters of publications. Pattern analysis and stability analysis allow the tendencies in developing of the field of research over years to be revealed. These new models are illustrated by an analysis of 39,811 articles on various aspects of Parkinson s disease, published between 2015 and 2021. This methodology can be useful for researchers of any scientific domain, because it enables them to identify key and actively developing trends as well as major players in the field. Moreover, this approach allows to determine main tendencies in the entire research community as well as in the specific parts of it that may have gone unnoticed before. The obtained results of the analysis are useful not only for researchers but also for journals, editorial teams, scientific organizations, and investors.…

Bibliometric Analysis by Network Models: Identifying Trends in Scientific Literature (Contemporary Systems Thinking)
Aleskerov, Fuad; Khutorskaya, Olga; Stepochkina, Anna; Yakuba, Vyacheslav; Zinovyeva, Ksenia
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Bibliometric Analysis by Network Models: Identifying Trends in Scientific Literature
Aleskerov, Fuad/ Khutorskaya, Olga/ Stepochkina, Anna/ Yakuba, Vyacheslav/ Zinovyeva, Ksenia
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Hardcover. Condición: Brand New. 300 pages. 9.25x6.10x9.49 inches. In Stock.

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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book contains new models of bibliometric analysis based on new centrality measures in network analysis, pattern analysis and stability analysis. A distinctive feature of these centrality measures is that they account for the parameters of vertices and group influence of vertices to a vertex. This reveals specific groups of publications, authors, terms, journals and affiliations of the authors depending on different parameters of publications. Pattern analysis and stability analysis allow the tendencies in developing of the field of research over years to be revealed. These new models are illustrated by an analysis of 39,811 articles on various aspects of Parkinson s disease, published between 2015 and 2021. This methodology can be useful for researchers of any scientific domain, because it enables them to identify key and actively developing trends as well as major players in the field. Moreover, this approach allows to determine main tendencies in the entire research community as well as in the specific parts of it that may have gone unnoticed before. The obtained results of the analysis are useful not only for researchers but also for journals, editorial teams, scientific organizations, and investors. 222 pp. Englisch.…

Bibliometric Analysis by Network Models
Aleskerov, Fuad; Khutorskaya, Olga; Stepochkina, Anna; Yakuba, Vyacheslav; Zinovyeva, Ksenia
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Librería: moluna, Greven, Alemaniamoluna
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The book contains new models of bibliometric analysis based on centrality measures in network analysis, pattern analysis and stability analysis. A distinctive feature of these centrality measures is that they account for the parameters of vertices and group influence of vertices to a vertex. This reveals specific groups of publications, authors, terms, journals and affiliations of the authors depending on different parameters of publications. Pattern analysis and stability analysis allow the tendencies in developing of the field of research over years to be revealed. These new models are illustrated by an analysis of 39,811 articles on various aspects of Parkinson's disease, published between 2015 and 2021. This methodology can be useful for researchers of any scientific domain, because it enables them to identify key and actively developing trends as well as major players in the field. Moreover, this approach allows to determine main tendencies in the entire research community as well as in the specific parts of it that may have gone unnoticed before. The obtained results of the analysis are useful not only for researchers but also for journals, editorial teams, scientific organizations, and investors.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 236 pp. Englisch.…

Bibliometric Analysis by Network Models: Identifying Trends in Scientific Literature (Contemporary Systems Thinking)
Aleskerov, Fuad; Khutorskaya, Olga; Stepochkina, Anna; Yakuba, Vyacheslav; Zinovyeva, Ksenia
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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Bibliometric Analysis by Network Models: Identifying Trends in Scientific Literature (Contemporary Systems Thinking)
Aleskerov, Fuad; Khutorskaya, Olga; Stepochkina, Anna; Yakuba, Vyacheslav; Zinovyeva, Ksenia
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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