دورية أكاديمية
Scale-dependent power law properties in hashtag usage time series of Weibo
| العنوان: | Scale-dependent power law properties in hashtag usage time series of Weibo |
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| المؤلفون: | Jiwei J. Jiang, Kenta Yamada, Hideki Takayasu, Misako Takayasu |
| المصدر: | Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023) |
| بيانات النشر: | Nature Portfolio, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Medicine LCC:Science |
| مصطلحات موضوعية: | Medicine, Science |
| الوصف: | Abstract We analyze the time series of hashtag numbers of social media data. We observe that the usage distribution of hashtags is characterized by a fat-tailed distribution with a size-dependent power law exponent and we find that there is a clear dependency between the growth rate distributions of hashtags and size of hashtags usage. We propose a generalized random multiplicative process model with a theory that explains the size dependency of the fat-tailed distribution. Numerical simulations show that our model reproduces these size-dependent properties nicely. We expect that our model is useful for understanding the mechanism of fat-tailed distributions in various fields of science and technology. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2045-2322 |
| Relation: | https://doaj.org/toc/2045-2322 |
| DOI: | 10.1038/s41598-023-49572-6 |
| URL الوصول: | https://doaj.org/article/e90daccb23494145867fc63da3099cb1 |
| رقم الأكسشن: | edsdoj.90daccb23494145867fc63da3099cb1 |
| قاعدة البيانات: | Directory of Open Access Journals |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 20452322 |
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| DOI: | 10.1038/s41598-023-49572-6 |