SpringerBriefs in Complexity

Citation Analysis and Dynamics of Citation Networks

Authors: Golosovsky, Michael

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  • Presents a working, fully calibrated model of citation dynamics that is ready to use
  • Offers 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 papers
  • Demystifies the origin of the power-law statistical distribution of citations
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  • ISBN 978-3-030-28169-4
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About this book

This book deals with the science of science by applying network science methods to citation networks and uniquely presents a physics-inspired model of citation dynamics. This stochastic model of citation dynamics is based on a well-known copying or recursive search mechanism. The measurements covered in this text yield parameters of the model and reveal that citation dynamics of scientific papers is not linear, as was previously assumed. This nonlinearity has far-reaching consequences including non-stationary citation distributions, diverging citation trajectories of similar papers, and runaways or "immortal papers" with an infinite citation lifespan. The author shows us that nonlinear stochastic models of citation dynamics can be the basis for a quantitative probabilistic prediction of citation dynamics of individual papers and of the overall journal impact factor. This book appeals to students and researchers from differing subject areas working in network science and bibliometrics.


About the authors

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.  

Table of contents (9 chapters)

Table of contents (9 chapters)

Buy this book

eBook $44.99
price for USA in USD
  • ISBN 978-3-030-28169-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase Institutional customers should get in touch with their account manager
Softcover $59.99
price for USA in USD
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Bibliographic Information

Bibliographic Information
Book Title
Citation Analysis and Dynamics of Citation Networks
Authors
Series Title
SpringerBriefs in Complexity
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
The Author(s), under exclusive license to Springer Nature Switzerland AG
eBook ISBN
978-3-030-28169-4
DOI
10.1007/978-3-030-28169-4
Softcover ISBN
978-3-030-28168-7
Series ISSN
2191-5326
Edition Number
1
Number of Pages
XIV, 121
Number of Illustrations
1 b/w illustrations, 52 illustrations in colour
Topics