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📰Read more: medium.com/towards-data-science/4-ways-to-quantify-fat-tails-with-python-10ce62c0ada1?sk=3aa9397cdd9f8acbd0fdf40d90c2cba5💻Example code: github.com/ShawhinT/RUclips-Blog/tree/main/power-laws/3-quantifying-fat-tails
great as usual! fat tail analysis sounds very much like analysis of scale-free networks!
Thanks! Glad you liked it :)That's not surprising. Mark E. J. Newman who wrote book on Networks is a co-author on the paper for the powerlaw library used here.
Such a good explanation! Thank you Shaw!
Glad it was helpful!
Audios a bit quiet on this one. This series is great though, thanks shaw
Sorry about that, I guess I rushed this one a bit 😅
📰Read more: medium.com/towards-data-science/4-ways-to-quantify-fat-tails-with-python-10ce62c0ada1?sk=3aa9397cdd9f8acbd0fdf40d90c2cba5
💻Example code: github.com/ShawhinT/RUclips-Blog/tree/main/power-laws/3-quantifying-fat-tails
great as usual! fat tail analysis sounds very much like analysis of scale-free networks!
Thanks! Glad you liked it :)
That's not surprising. Mark E. J. Newman who wrote book on Networks is a co-author on the paper for the powerlaw library used here.
Such a good explanation! Thank you Shaw!
Glad it was helpful!
Audios a bit quiet on this one. This series is great though, thanks shaw
Sorry about that, I guess I rushed this one a bit 😅