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Insights into Social Media Data using Entropy Theory
--client
pyconau
--show
pyconau2019
--room c34_c35 14961 --force
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Marks
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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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.
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2019-08-04/10_43_53.ts
Apply:
10:43:53 - 10:53:22 ( 00:09:29 )
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Cut List
10:43:53
seconds: 0.0
Wall: 10:43:53
Duration
00:29:59
11:13:52
seconds: 569.0
Wall: 10:53:22
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2019-08-04/10_43_53.ts
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vlc ~/Videos/veyepar/pyconau/pyconau2019/dv/c34_c35/2019-08-04/10_43_53.ts :start-time=0569.0 --audio-desync=0
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Cut List
10:43:53
seconds: 569.0
Wall: 10:53:22
Duration
00:29:59
11:13:52
seconds: 1572.0
Wall: 11:10:05
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dv.m3u
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2019-08-04/10_43_53.ts
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vlc ~/Videos/veyepar/pyconau/pyconau2019/dv/c34_c35/2019-08-04/10_43_53.ts :start-time=01572.0 --audio-desync=0
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Cut List
10:43:53
seconds: 1572.0
Wall: 11:10:05
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00:29:59
11:13:52
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11:13:53
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11:43:52
seconds: 1511.0
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2019-08-04/11_13_53.ts
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11:13:53
seconds: 1511.0
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00:29:59
11:43:52
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