Andere Kunden interessierten sich auch für
![Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation]( "Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation")
Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation74,99 €![Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation]( "Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation")
Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation74,99 €![Dynamics On and Of Complex Networks III]( "Dynamics On and Of Complex Networks III")
Dynamics On and Of Complex Networks III74,99 €![Dynamics On and Of Complex Networks III]( "Dynamics On and Of Complex Networks III")
Dynamics On and Of Complex Networks III74,99 €![Emergence of Communication in Socio-Biological Networks]( "Emergence of Communication in Socio-Biological Networks")
Emergence of Communication in Socio-Biological Networks37,99 €![IC-BCT 2019]( "IC-BCT 2019")
IC-BCT 201981,99 €![Statistical Physics and Computational Methods for Evolutionary Game Theory]( "Statistical Physics and Computational Methods for Evolutionary Game Theory")
Statistical Physics and Computational Methods for Evolutionary Game Theory48,99 €
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.