Box Office Forecasting considering Competitive Environment and Word-of-Mouth in Social Networks: A Case Study of Korean Film Market
Table 2
Explanatory variable description (X denotes the target motion picture whereas denotes the motion picture that was ranked first at the box office one day prior to the release day. denotes the top five movies in terms of box office scores one day prior to release).
Var
Category
Attribute
Description
1
—
Index
Motion picture identifier
2
Screening
Number of seats for X on the release day
3
Competition
Number of screens for on the release day
4
Number of seats for on the release day
5
Screen share for on the release day
6
Number of screens for on one day before release
7
Number of seats for on one day before release
8
Screen share for on one day before release
9
IN_number
Number of motion pictures among that have the same nationality with X
10
IN_screen
Number of total screens on the release day for the motion pictures in that have the same nationality with X
11
IN_seat
Number of total seats on the release day for the motion pictures in that have the same nationality with X
12
IN_share
Aggregated screen shares on the release day for the motion pictures in that have the same nationality with X
13
IG_number
Number of motion pictures among that have the same genre with X
14
IG_screen
Number of total screens on the release day for the motion pictures in that have the same genre with X
15
IG_seat
Number of total seats on the release day for the motion pictures in that have the same genre with X
16
IG_share
Aggregated screen shares on the release day for the motion pictures in that have the same genre with X
17
IR_number
Number of motion pictures among that have the same ratings with X
18
IR_screen
Number of total screens on the release day for the motion pictures in that have the same ratings with X
19
IR_seat
Number of total seats on the release day for the motion pictures in that have the same ratings with X
20
IR_share
Aggregated screen shares on the release day for the motion pictures in that have the same ratings with X
21
ID_number
Number of motion pictures among that have the same distributor with X
22
ID_screen
Number of total screens on the release day for the motion pictures in that have the same distributor with X
23
ID_seat
Number of total seats on the release day for the motion pictures in that have the same distributor with X
24
ID_share
Aggregated screen shares on the release day for the motion pictures in that have the same distributor with X
25
Avg_age
The average screening days of until the release day
26
Rank_screen
Rank of X in terms of the number of screens on the release day
27
28
WOM
N_SNS−3
Total number of SNS mentions posted between three and two weeks prior to the release
29
N_SNS−2
Total number of SNS mentions posted between two weeks and one week prior to the release
30
N_SNS−1
Total number of SNS mentions posted during one week prior to the release
31
N_emo−3
Total number of emotional SNS mentions posted between three and two weeks prior to the release
32
N_emo−2
Total number of emotional SNS mentions posted between two weeks and one week prior to the release
33
N_emo−1
Total number of emotional SNS mentions posted during one week prior to the release
34
N_pos−3
Total number of positive SNS mentions posted between three and two weeks prior to the release
35
N_pos−2
Total number of positive SNS mentions posted between two weeks and one week prior to the release
36
N_pos−1
Total number of positive SNS mentions posted during one week prior to the release
37
N_neg−3
Total number of negative SNS mentions posted between three and two weeks prior to the release
38
N_neg−2
Total number of negative SNS mentions posted between two weeks and one week prior to the release
39
N_neg−1
Total number of negative SNS mentions posted during one week prior to the release
