Exploration of the Development Path of Network Novel Film and TV Adaptation Drama in the Background of Internet

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Figure 5.

Division results

Project	The Standard Layer	Index Level
Internet literature IP adaptation of film copyright value (A)	Internal factors (B1)	Actor (C1)
		Director (C2)
		Screenwriter (C3)
		Internet Literature IP (C4)
		Film genre (C5)
	External factors (B2)	Film attention (C6)
		Release date (C7)
		Issuing Company (C8)

Weight vector and maximum feature root results

Solution layer	Criterion layer	Weighting (Wi)	Maximum characteristic root
The value of the net film	The communication of the online work	0.1315	3.0985
	Copyright operation	0.6935
	Macroscopic environment	0.1750
Online literature	Work content	0.6284	3.1482
	Work influence	0.2321
	Social value	0.1395
Internal environment	Outside the movie	0.3483	2.9843
	Network platform	0.2519
	Inside the movie	0.3998
External environment	Policy environment	0.3500	2.9937
	Industrial development level	0.6500

The analytic hierarchy process (AHP) scores

Z	A1	A2	A3	A4	A5
A1	a11	a12	a13	a14	a15
A2	a21	a22	a23	a24	a25
A3	a31	a32	a33	a34	a35
A4	a41	a42	a43	a44	a45
A5	a51	a52	a53	a54	a55

Statistics of single-layer sorting

Project	The standard layer	Index level
Internet literature IP adaptation of film copyright value	Internal factors (0.6667)	Actor (0.1857)
		Director (0.4531)
		Screenwriter (0.0621)
		Internet Literature IP (0.2991)
		Film genre (0.0482)
	External factors (0.3333)	Film attention (0.6024)
		Release date (0.2385)
		Issuing Company (0.1555)

Sensitivity analysis of important coefficients

Paid user (U)				Validity (k)
Variation	U	V	Sensibility	Variation	K	V	Sensibility
10%	60.918	5197.147	-0.45%	10%	0.1412	5241.523	0.40%
5%	58.149	5208.633	-0.23%	5%	0.1348	5231.603	0.21%
0	55.38	5220.64	0%	0	0.1284	5220.64	0%
-5%	52.611	5232.647	0.23%	-5%	0.1220	5208.633	-0.23%
10%	49.842	5244.133	0.45%	10%	0.1156	5195.581	-0.48%
Discount rate (r)				Conversion (T)
10%	0.1680	5096.911	-2.37%	10%	0.88	5271.802	0.98%
5%	0.1603	5160.603	-1.15%	5%	0.84	5247.265	0.51%
0	0.1527	5220.64	0%	0	0.80	5220.64	0%
-5%	0.1451	5287.464	1.28%	-5%	0.76	2558.114	-0.51
10%	0.1374	5358.987	2.65%	10%	0.72	5169.478	-0.98%

The error between the model evaluation income and the actual income

Movie name	Actual box office	Prediction box office	Error
A	36.05	33.89	6.01%
B	7.79	7.21	7.55%
C	13.55	13.52	0.28%
D	34.11	34.02	0.25%
E	12.84	12.57	2.09%
F	47.41	43.98	7.24%
G	49.59	48.86	1.46%
H	22.68	22.11	2.50%
I	19.91	19.78	0.65%
J	31.23	28.73	8.00%