TF-IDF Colored by Scribe GIF

[RobGea]

TF-IDF Cosine matching algorithm using ZL.2a Transcription visualized by Gephi v0.92

11 images in 1 GIF file
colors indicate the Scribe
all points are folios
curved lines are edges

img1 uses only the strongest edge weights;  adding weaker edges until  img11  which shows all the edges.

vocab is missing 200 words...grrr..rare chars and single chars is probably the problem.

Key:
Scribe No.  Color        Total pages 
Scribe1      Green          113pages       
Scribe2      Blue              46pages     
Scribe3      Red              33pages   
Scribe4      Pink              27pages
Scribe5      Yellow           07pages

Outliers at top:
f96v( green ), f68r2( pink ), f68r1( pink ), f65r( red )
Outlier at bottom:
v67v2( pink )

Gif by ezgif

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[nablator]

Nice ! Can you list the pages for scribe 1, 2, 3? I don't have the same numbers.

[Koen G]

The beauty of this visualisation alone is worth appreciating. There seems to be a bit of red vs blue clustering in the right hemisphere?

[RobGea]

There seems to be a bit of red vs blue clustering in the right hemisphere?

Yes, it shows just how tighly knitted together Scribe_2 and Scribe_3's words are.

Also you can see, even by img11 that if a Scribe_1(green) folio was taken at random, its nearest neighbor would most likely also be green and it would be within a mesh of green edges(words)
thus visually demonstrating, in a limited way, what Kevin Farrugia found,
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that separating Scribe_1, from Scribes 2 and 3 can be done most of the time, whilst successfully separating Scribe_2 from Scribe_3 is much harder.

Interestingly ( if i interpet these images correctly    ) then Scribe_4 (pink) should also be able to be separated out from the other scribes more often than not.

[RobGea]

Hi nablator, sorry for the 3 year delay    ... woops 

Scribe1
Nbr. folios 113

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[f1r, f1v, f2r, f2v, f3r, f3v, f4r, f4v, f5r, f5v, f6r, f6v, f7r, f7v, f8r, f8v, f9r, f9v, f10r, f10v, f11r, f11v, f13r, f13v, f14r, f14v, f15r, f15v, f16r, f16v, f17r, f17v, f18r, f18v, f19r, f19v, f20r, f20v, f21r, f21v, f22r, f22v, f23r, f23v, f24r, f24v, f25r, f25v, f27r, f27v, f28r, f28v, f29r, f29v, f30r, f30v, f32r, f32v, f35r, f35v, f36r, f36v, f37r, f37v, f38r, f38v, f42r, f42v, f44r, f44v, f45r, f45v, f47r, f47v, f49r, f49v, f51r, f51v, f52r, f52v, f53r, f53v, f54r, f54v, f56r, f56v, f57v, f87r, f87v, f88r, f88v, f89r1, f89r2, f89v2, f89v1, f90r1, f90r2, f90v2, f90v1, f93r, f93v, f96r, f96v, f99r, f99v, f100r, f100v, f101r, f101v, f102r1, f102r2, f102v2, f102v1]

Scribe2
Nbr. folios 46

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[f26r, f26v, f31r, f31v, f33r, f33v, f34r, f34v, f39r, f39v, f40r, f40v, f43r, f43v, f46r, f46v, f50r, f50v, f55r, f55v, f75r, f75v, f76r, f76v, f77r, f77v, f78r, f78v, f79r, f79v, f80r, f80v, f81r, f81v, f82r, f82v, f83r, f83v, f84r, f84v, f85r1, f85r2, f86v4, f86v6, f86v5, f86v3]

Scribe3
Nbr. folios 33

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[f58r, f58v, f65r, f65v, f94r, f94v, f95r1, f95r2, f95v2, f95v1, f103r, f103v, f104r, f104v, f105r, f105v, f106r, f106v, f107r, f107v, f108r, f108v, f111r, f111v, f112r, f112v, f113r, f113v, f114r, f114v, f115r, f115v, f116r]

Comment:
# pharma, f101r,  {f102r empty} ,  f101v.
# <f101r2>      {$I=P $Q=S $P=F} -- ZL
# All text on this page in normal paragraphs covered by f101r1 --ZL
# f101r2 is empty

[Bernd]

separating Scribe_1, from Scribes 2 and 3 can be done most of the time, whilst successfully separating Scribe_2 from Scribe_3 is much harder

While much harder to quantify, this is also true for VM plants.
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A plants on pages written by by Scribe 1 can be distinguished from B plants on pages by Scribes 2,3,5 with relative ease. But distingushing plants from Scribes 2 and 3 is nearly impossible. Arguably the sample size is much smaller but still they have a very similar 'vibe'