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Table 3 Top 10 nodes sorted and their influence score of the face layer GFF for each of the 6 SW movies

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

FACES GFF
SW1SW2SW3SW4SW5SW6
QUI-GON1,00ANAKIN1,33ANAKIN1,00LUKE1,00LEIA1,00HAN SOLO1,67
A.DOPPELGANGER2,00OBI-WAN2,00OBI-WAN2,00HAN SOLO2,33HAN2,67LUKE2,00
ANAKIN3,00AMIDALA2,67PALPATINE3,00LEIA3,33LUKE4,00LEIA3,00
JAR JAR4,00M.WINDU4,00YODA4,00OBI-WAN4,33CHEWBACCA4,00C-3PO4,67
OBI-WAN5,00YODA5,67B.B.ORGANA5,33CHEWBACCA4,67L.TECHNICIAN5,67CHEWBACCA5,33
PANAKA6,33DOOKU6,67GRIEVOUS7,00C-3PO5,33C-3PO6,00LANDO6,67
SHMI6,67J.FETT8,67M.WINDU7,33DODGE8,67PIETT8,00P.FOLLOWER7,67
PADME8,33B.FETT9,67NUTE_GUARD8,00TARKIN9,00RIEEKAN8,33BIGGS9,00
SEBULBA9,67KI-ADI10,33M.AMEDDA9,00R.LEADER9,00STORMTROOPER10,33J.MUSICIAN_1006_010,67
PALPATINE11,67P.FOLLOWER11,67CHEWBACCA9,33C.BARTENDER10,33R.OFFICER11,33EWOK_114,33