Citation Analysis and Dynamics of Citation Networks

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Golosovsky, Michael (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Σειρά:SpringerBriefs in Complexity,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.