Citation Analysis and Dynamics of Citation Networks

• Main Author: Golosovsky, Michael (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: SpringerBriefs in Complexity,
• Subjects: Sociophysics.; Econophysics.; System theory.; Big data.; Data-driven Science, Modeling and Theory Building.; Complex Systems.; Big Data.; Big Data/Analytics.

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...

Table of Contents:

• 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.