Home > Published Issues > 2025 > Volume 16, No. 6, 2025 >
JAIT 2025 Vol.16(6): 770-776
doi: 10.12720/jait.16.6.770-776

Applying the Yule-Simon Process to Ranking Network Accesses

Naoshi Sakamoto
Department of Information and Communication Engineering, School of Engineering,
Tokyo Denki University, Tokyo, Japan
Email: sakamoto@c.dendai.ac.jp

Manuscript received September 27, 2024; revised December 22, 2024, accepted March 4, 2025; published June 5, 2025.

Abstract—Power-law distributions have been observed in various phenomena throughout history. In this study, we examined the access rankings of video streaming sites and the follower rankings of music streaming sites. While videos and music span a wide range of genres, we conducted observations for each genre separately. As a result, we found that these rankings followed a power-law distribution with exponents that fell within a remarkably narrow range. To explain this behavior, we discussed the applicability of the Yule-Simon process as a natural model. This process models positive feedback in which fans belonging to a particular genre generate new fans with equal probability. Consequently, a one-parameter model was successfully applied to video streaming sites, while a two-parameter model was applicable to music streaming sites.
 
Keywords—power law, Yule-Simon process, internet access analysis

Cite: Naoshi Sakamoto, "Applying the Yule-Simon Process to Ranking Network Accesses," Journal of Advances in Information Technology, Vol. 16, No. 6, pp. 770-776, 2025. doi: 10.12720/jait.16.6.770-776

Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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