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Zipf’s, Heaps’ and Taylor’s Laws are Determined by the Expansion into the Adjacent Possible
Zipf’s, Heaps’ and Taylor’s laws are ubiquitous in many different systems where innovation processes are at play. Together, they represent a compelling set of stylized facts regarding the overall statistics, the innovation rate and the scaling of fluctuations for systems as diverse as written texts...
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| 出版年: | Entropy (Basel) |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7512314/ https://ncbi.nlm.nih.gov/pubmed/33265841 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e20100752 |
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