Citation Analysis and Dynamics of Citation Networks

Lieferzeit: Lieferbar innerhalb 14 Tagen

64,19 

SpringerBriefs in Complexity

ISBN: 303028168X
ISBN 13: 9783030281687
Autor: Golosovsky, Michael
Verlag: Springer Verlag GmbH
Umfang: xiv, 121 S., 1 s/w Illustr., 52 farbige Illustr., 121 p. 53 illus., 52 illus. in color.
Erscheinungsdatum: 11.10.2019
Auflage: 1/2019
Produktform: Kartoniert
Einband: Kartoniert

Presents a working, fully calibrated model of citation dynamics that is ready to useOffers a quantitative example of how concepts developed in the field of complex networks help to solve the real-life problem of modeling the citation dynamics of papersDemystifies the origin of the power-law statistical distribution of citations

Artikelnummer: 7737184 Kategorie:

Beschreibung

Autorenporträt

Michael Golosovsky is an experimental  physicist and he has been doing research and  teaching physics  in  the Hebrew University of Jerusalem since 1988. He  published  more than 100 papers in the peer-reviewed journals in the fields of solid state physics, biophysics, and complex networks.  During last decade he focused his attention on citation networks and  brought to this interdisciplinary field  his expertise in planning and performing measurements. Basing on these measurements, he  succeeded in building a physical, data-based model of citation dynamics.  

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Springer Verlag GmbH
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E-Mail: juergen.hartmann@springer.com

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