Skip to main content

Table 7 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, ALL LAYERS \(\mathbb G\)
SW1SW2SW3
QUI-GONGFF1,00ANAKINGFF1,67ANAKINGFF2,33
A.DOPPELGANGERGFF2,33AMIDALAGFF3,00OBI-WANGFF3,33
ANAKINGFF2,67masterGKK3,33jediGKK5,00
OBI-WANGFF4,00OBI-WANGFF4,33anakinGKK5,33
QUI-GONGCC5,33a,black,shirt,wearingGCaCa6,00a,black,shirt,wearingGCaCa6,67
JAR JARGFF5,67jediGKK6,33YODAGFF8,00
ANAKINGCC7,00continuingGKK8,00a,black,jacket,wearingGCaCa8,33
a,black,jacket,wearingGCaCa9,33a,black,jacket,wearingGCaCa8,33masterGKK8,67
a,black,wearing,womanGCaCa9,67PADMEGCC9,67a,black,man,wearingGCaCa9,33
JAR JARGCC11,67a,black,wearing,womanGCaCa10,33anakinGKK11,67
SW4SW5SW6
a,shirt,wearing,whiteGCaCa1,33LEIAGFF1,00LUKEGFF1,00
LUKEGFF1,67HAN SOLOGFF3,00HAN SOLOGFF2,00
a,man,wearing,whiteGCaCa3,00a,shirt,wearing,whiteGCaCa3,00LEIAGFF3,00
LEIAGFF5,33a,black,shirt,wearingGCaCa4,33HAN SOLOGCC5,33
a,black,shirt,wearingGCaCa5,67LUKEGFF6,00lukeGKK6,33
a,black,man,wearingGCaCa7,00a,black,man,wearingGCaCa7,00C-3POGCC6,67
a,black,jacket,wearingGCaCa7,67a,black,jacket,wearingGCaCa7,33C-3POGFF7,67
a,red,shirt,wearingGCaCa8,33a,wearing,white,womanGCaCa9,33CHEWBACCAGFF10,33
LUKEGCC10,00comlinkGKK9,67a,shirt,wearing,whiteGCaCa11,67
HAN SOLOGFF10,33a,black,wearing,womanGCaCa10,00LANDOGFF12,00