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