veyepar: Insights into Social Media Data using Entropy Theory

Author(s):	Mars Geldard
Location	C3.4 & C3.5
Date	aug Sun 04	Days Raw Files
Start	11:10	First Raw Start	10:43
Duration	0:30:0	Offset	0:26:07
End	11:40	Last Raw End	11:43
Chapters	00:00 0:03:47
Total cuts_time	28 min.

https://2019.pycon-au.org/talks/insights-into-social-media-data-using-entropy-theory
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Description:	Entropy theory is usually thought of as something that applies to matter and energy, but it turns out that we can apply the same techniques of analysis to social media sites. Join me as we study the thermodynamic behaviour of users on Twitter, and learn how to analyse it better. markdown
Comment:	production notes

2019-08-04/10_43_53.ts Apply: 10:43:53 - 10:53:22 ( 00:09:29 ) S: 10:43:53 - E: 11:13:52 D: 00:29:59 (End: 569.0) show more...

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2019-08-04/11_13_53.ts Apply: 11:39:04 - 11:43:52 ( 00:04:48 ) S: 11:13:53 - E: 11:43:52 D: 00:29:59 (Start: 1511.0) show more...

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