The transition towards immortality: non-linear autocatalytic growth of citations to scientific papers
arXiv:1302.2760 · doi:10.1007/s10955-013-0714-z
Abstract
We discuss microscopic mechanisms of complex network growth, with the special emphasis of how these mechanisms can be evaluated from the measurements on real networks. As an example we consider the network of citations to scientific papers. Contrary to common belief that its growth is determined by the linear preferential attachment, our microscopic measurements show that it is driven by the nonlinear autocatalytic growth. This invalidates the scale-free hypothesis for the citation network. The nonlinearity is responsible for a dramatic dynamical phase transition: while the citation lifetime of majority of papers is 6-10 years, the highly-cited papers have practically infinite lifetime.
arXiv commentto appear soon in the Special issue of the Journal of Statistical Physics
References in corpus (13)
- Statistical mechanics of complex networks
- The structure and function of complex networks
- Evolution of networks
- Organization of Growing Random Networks
- Universality of citation distributions: towards an objective measure of scientific impact
- Measuring preferential attachment for evolving networks
- The power of a good idea: quantitative modeling of the spread of ideas from epidemiological models
- Citation Statistics from 110 Years of Physical Review
- Preferential attachment in the protein network evolution
- Log-Networks
- Power-law distributions and Levy-stable intermittent fluctuations in stochastic systems of many autocatalytic elements
- Stochastic dynamical model of a growing network based on self-exciting point process
- A Formal Treatment of Generalized Preferential Attachment and its Empirical Validation
Cited by in corpus (9)
- The Matthew effect in empirical data
- The Memory of Science: Inflation, Myopia, and the Knowledge Network
- Modelling Citation Networks
- Fame and Obsolescence: Disentangling growth and ageing dynamics of patent citations
- Power-law citation distributions are not scale-free
- Preferential attachment mechanism of complex network growth: "rich-gets-richer" or "fit-gets-richer"?
- A multi-layer network approach to modelling authorship influence on citation dynamics in physics journals
- Agent-based model for the h-index - Exact solution
- How do life, economy and other complex systems escape the heat death?