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Table 6 Top 10 nodes sorted and their influence score of the caption layer GCaCa for each of the 6 SW movies

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

CAPTIONS GCaCa
SW1SW2SW3
a,black,jacket,wearing1,67a,black,shirt,wearing1,00a,black,shirt,wearing1,00
a,black,wearing,woman2,00a,shirt,wearing,white2,33a,black,jacket,wearing2,33
a,red,wearing,woman3,33a,black,jacket,wearing2,67a,shirt,wearing,white3,00
a,red,shirt,wearing4,33a,black,man,wearing4,00a,black,man,wearing3,67
a,shirt,wearing,white4,67a,black,wearing,woman5,67a,black,wearing,woman5,00
a,jacket,red,wearing6,67a,wearing,white,woman6,67a,man,wearing,white6,00
a,black,man,wearing7,33a,brown,shirt,wearing7,00a,red,shirt,wearing7,33
a,blue,wearing,woman10,33a,red,shirt,wearing7,00a,blue,shirt,wearing8,00
a,man,red,wearing10,67a,brown,chair,wooden9,33a,brown,shirt,wearing9,67
a,gray,shirt,wearing12,00a,blue,shirt,wearing10,33a,hat,man,wearing11,33
SW4SW5SW6
a,shirt,wearing,white1,00a,shirt,wearing,white1,00a,shirt,wearing,white1,33
a,man,wearing,white2,00a,man,wearing,white2,00a,black,jacket,wearing3,00
a,black,shirt,wearing3,33a,black,shirt,wearing3,33a,man,wearing,white3,33
a,black,man,wearing4,33a,black,man,wearing4,33and,red,sign,white4,33
a,red,shirt,wearing5,00a,red,shirt,wearing5,00a,black,shirt,wearing4,33
a,black,jacket,wearing5,33a,black,jacket,wearing5,33a,black,man,wearing5,67
a,wearing,white,woman7,33a,wearing,white,woman7,33a,hat,man,wearing7,33
a,helmet,man,wearing9,67a,helmet,man,wearing9,67a,green,shirt,wearing7,67
and,bag,black,white10,00and,bag,black,white10,00a,black,wearing,woman9,67
a,black,wearing,woman11,33a,black,wearing,woman11,33a,man,shirt,wearing9,67