Citation Analysis and Dynamics of Citation Networks [E-Book] / by Michael Golosovsky.
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 covere...
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Full text |
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| Personal Name(s): | Golosovsky, Michael, author |
| Edition: |
1st edition 2019. |
| Imprint: |
Cham :
Springer,
2019
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| Physical Description: |
XIV, 121 pages 53 illustrations, 52 illustrations in color (online resource) |
| Note: |
englisch |
| ISBN: |
9783030281694 |
| DOI: |
10.1007/978-3-030-28169-4 |
| Series Title: |
SpringerBriefs in Complexity
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| Subject (LOC): |
- Chapter1: Introduction
- Chapter2: Complex network of scientific papers
- Chapter3: Stochastic modeling of references and citations
- Chapter4: Citation dynamics of individual papers -model calibration
- Chapter5: Model validation
- Chapter6: Comparison of citation dynamics for different disciplines
- Chapter7: Prediction of citation dynamics of individual papers
- Chapter8: Power-law citation distributions are not scale-free
- Chapter9: Comparison to existing models.