Anomalous diffusion in the citation time series of scientific publications
arXiv:2106.10038 · doi:10.1088/2632-072X/ac24f1
Abstract
We analyze the citation time-series of manuscripts in three different fields of science; physics, social science and technology. The evolution of the time-series of the yearly number of citations, namely the citation trajectories, diffuse anomalously, their variance scales with time , where . We provide detailed analysis of the various factors that lead to the anomalous behavior: non-stationarity, long-ranged correlations and a fat-tailed increment distribution. The papers exhibit high degree of heterogeneity, across the various fields, as the statistics of the highest cited papers is fundamentally different from that of the lower ones. The citation data is shown to be highly correlated and non-stationary; as all the papers except the small percentage of them with high number of citations, die out in time.
arXiv comment12 pages, 12 figures
References in corpus (21)
- Statistical mechanics of complex networks
- Power-law distributions in empirical data
- How Popular is Your Paper? An Empirical Study of the Citation Distribution
- Quantifying Long-Term Scientific Impact
- Organization of Growing Random Networks
- Universality of citation distributions: towards an objective measure of scientific impact
- Bose-Einstein condensation in complex networks
- Single particle tracking in systems showing anomalous diffusion: the role of weak ergodicity breaking
- Anomalous diffusion and ergodicity breaking in heterogeneous diffusion processes
- Stochastic Ergodicity Breaking: a Random Walk Approach
- Weak ergodicity breaking of receptor motion in living cells stemming from random diffusivity
- Characterizing and modeling citation dynamics
- Career on the Move: Geography, Stratification, and Scientific Impact
- The Chaperone Effect in Scientific Publishing
- Weak ergodicity breaking in an anomalous diffusion process of mixed origins
- Universality of Performance Indicators based on Citation and Reference Counts
- The Time Dimension of Science: Connecting the Past to the Future
- Anomalous Scaling of Stochastic Processes and the Moses Effect
- Power-law citation distributions are not scale-free
- Moses, Noah and Joseph Effects in Coupled Lévy Processes
- Anomalous diffusion and the Moses effect in a model of aging