Citation Analysis and Dynamics of Citation Networks

AvMichael Golosovsky

Häftad, Engelska, 2019

Del i serien SpringerBriefs in Complexity

679 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Fler format och utgåvor

E-bok

894 kr

Beskrivning

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.

Produktinformation

Utgivningsdatum:2019-10-11
Mått:155 x 235 x 8 mm
Vikt:219 g
Format:Häftad
Språk:Engelska
Serie:SpringerBriefs in Complexity
Antal sidor:121
Förlag:Springer Nature Switzerland AG
ISBN:9783030281687

Utforska kategorier

Referensverk och tvärvetenskap inom Samhälle och politik
Databaser inom Data och IT

Mer om författaren

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.

Innehållsförteckning

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

Mer från samma serie

Multidisciplinary Framework of Information Propagation Online

Susannah B. F. Paletz, Brooke E. Auxier, Ewa M. Golonka

Häftad, 2019

535 kr

Improving Human Performance in Dynamic Tasks

Hassan Qudrat-Ullah

Häftad, 2019

550 kr

Target in Control

Andrzej K. Nowak, Robin R. Vallacher, Agnieszka Rychwalska, Magdalena Roszczyńska-Kurasińska, Karolina Ziembowicz, Mikolaj Biesaga, Marta Kacprzyk-Murawska

Häftad, 2020

549 kr