Novel Network Public Opinion Prediction and Guidance Model Based on “S-Curve”: Taking the Loss of Contact with “Malaysia Airlines”

Table 1

Data frame.

t	a	x
1	2878813	2878813	14.87
2	2334038	5212851	15.47
3	1658542	6871393	15.74
4	1478279	8349672	15.94
5	1818663	10168335	16.13
6	2081481	12249816	16.32
7	1641772	13891588	16.45
8	1821670	15713258	16.57
9	912939	16626197	16.63
10	701404	17327601	16.67
11	518800	17846401	16.70
12	346422	18192823	16.72
13	343224	18536047	16.74
14	232773	18768820	16.75
15	168282	18937102	16.76
16	128418	19065520	16.76
17	1047551	20128509	16.82
18	3336808	23465317	16.97
19	1610509	25075826	17.04
20	505760	25581586	17.06
21	275780	25857366	17.07
22	166097	26023463	17.07
23	162715	26186178	17.08
24	278691	26464869	17.09