https://doi.org/10.1140/epjb/s10051-021-00236-2
Regular Article - Statistical and Nonlinear Physics
Relations between anomalous diffusion and fluctuation scaling: the case of ultraslow diffusion and time-scale-independent fluctuation scaling in language
1
Faculty of Economics, Seijo University, 6-1-20 Seijo, Setagaya, 157-8511, Tokyo, Japan
2
The Institute of Statistical Mathematics, 10-3 Midori-cho, 190-8562, Tachikawa, Tokyo, Japan
3
College of Science and Engineering, Kanazawa University, 920-1192, Kanazawa, Ishikawa, Japan
4
Hottolink, Inc., 6 Yonbancho Chiyoda-ku, 102-0081, Tokyo, Japan
Received:
21
September
2021
Accepted:
27
October
2021
Published online:
20
November
2021
Fluctuation scaling (FS) and anomalous diffusion have been discussed in different contexts, even though both are often observed in complex systems. To clarify the relationship between these concepts, we investigated approximately three billion Japanese blog articles over a period of six years and analyzed the corresponding Poisson process driven by a random walk model with power-law forgetting, which reproduces both the anomalous diffusion and the FS. From the analysis of the model, we have identified the relationship between the time-scale dependence of FS and characteristics of anomalous diffusion and showed that the time-scale-independent FS corresponds to essentially a logarithmic diffusion (i.e., a kind of ultraslow diffusion). In addition, we confirmed that this relationship is also valid for the actual data. This finding may contribute to the discovery of actual examples of ultraslow diffusion, which have been nearly unobserved in spite of many mathematical theories, because we can detect the time-scale-independent FS more easily and more distinctly than through direct detection of the logarithmic diffusion based on the mean squared displacement.
© The Author(s), under exclusive licence to EDP Sciences, SIF and Springer-Verlag GmbH Germany, part of Springer Nature 2021