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Table 8 Top 10 nodes sorted, with their layer and influence score of the overall multilayer network \(\mathbb G'\) for each of the 6 SW movies

From: Movienet: a movie multilayer network model using visual and textual semantic cues

MULTILAYER, WITHOUT CAPTIONS \(\mathbb G'\)
SW1SW2SW3
QUI-GONGFF1,00ANAKINGFF1,00OBI-WANGFF1,00
A.DOPPELGANGERGFF2,33OBI-WANGFF2,67ANAKINGFF2,00
ANAKINGFF2,67AMIDALAGFF2,67YODAGFF3,00
JAR JARGFF4,33PADMEGCC3,67PALPATINEGFF5,33
OBI-WANGFF4,67ANAKINGCC5,00B.B.ORGANAGFF5,33
QUI-GONGCC6,00OBI-WANGCC6,67OBI-WANGCC5,67
ANAKINGCC7,00M.WINDUGFF7,33ANAKINGCC6,67
PANAKAGFF8,00YODAGFF9,00DVQSDGLL9,67
SHMIGFF9,00jediGKK9,00M.WINDUGFF11,00
PADMEGFF10,33masterGKK10,33PALPATINEGCC11,00
SW4SW5SW6
LUKEGFF1,00LEIAGFF1,00HAN SOLOGFF1,33
LEIAGFF2,33LUKEGFF2,00LUKEGFF2,67
LUKEGCC2,67HAN SOLOGFF3,67LEIAGFF3,00
H.SOLOGFF4,00HAN SOLOGCC5,33C-3POGFF3,67
C-3POGFF5,00MHMFCGLL6,33CHEWBACCAGFF5,67
C-3POGCC6,67HRBCCGLL6,67HAN SOLOGCC6,00
O.WANGFF8,00CHEWBACCAGFF7,00C-3POGCC7,67
CHEWBACCAGFF8,67LUKEGCC8,67LANDOGFF8,33
H.SOLOGCC10,00C-3POGFF10,33LUKEGCC9,33
MFCGLL10,67YODAGFF10,67HAN SOLOGKK10,00