Research on the Intelligent Optimization Method of Digital Communication Path of Ice and Snow Sports and Cultural Elements

Figure 1.

Figure 2.

Figure 3.

Figure 4.

Intermediate solution results

Frequency cutoff:2
Consistency cutoff:0.959805
	Raw coverage	Unique coverage	Consistency
~SE*PE*EI*PU*IDW	0.318853	0.0343125	0.960207
SOE*EI*RE*PU*IDW	0.656437	0.384211	0.969875
~SE*SOE*PE*~RE*PU*IDW	0.248606	0.00627889	0.969376
Solution coverage:0.709325
Solution consistency:0.961517

Variable calibration score

Predependent variable	SE	SOE	PE	EI	RE	PU	IDW	IDB
95% quantile	5.00	5.00	5.00	5.00	5.00	5.00	5.00	5.00
50% quantile	4.00	4.00	4.00	4.00	4.00	4.00	4.00	3.73
5% quantile	2.65	3.00	2.65	3.00	3.00	3.00	2.65	2.45

The high-level information propagation behavior group state

Conditional variable	The high-level information propagation behavior group state
	C1	C2	C3
SE	§		§
SOE		¤	¤
PE	¤		¤
EI	¤	¤
RE		¤	§
PU	¤	¤
IDW	¤	¤
Consistency	0.960207	0.969875	0.969376
Raw coverage	0.318853	0.656437	0.248606
Unique coverage	0.0343125	0.384211	0.00627889
Solution coverage	0.709325
Solution consistency	0.961517

Simple solution

Frequency cutoff:2
Consistency cutoff:0.959766
	Raw coverage	Unique coverage	Consistency
PE*EI*IDW	0.685389	0.0485678	0.960036
SOE*RE*PU*IDW	0.673296	0.0127385	0.967285
SOE*PE*~EI	0.299208	0.00538869	0.918469
SOE*~EI*PU	0.329986	0.0120469	0.911687
SOE*~EI*IDW	0.327433	0.00863246	0.949568
SOE*PE*IDW	0.659246	0.00109605	0.970411
Solution coverag:0.795985
Solution consistency:0.920563

User culture elements propagate behavior

SE	SOE	PE	EI	RE	PU	IDW	Number	IDB	Raw	PRI
0	1	1	1	1	1	1	81	1	0.97889	0.96871
1	1	1	1	0	1	1	6	1	0.98035	0.89407
0	1	1	0	1	1	1	8	1	0.97864	0.88945
0	0	1	1	1	1	1	2	1	0.96754	0.7882
1	1	1	1	0	1	1	2	1	0.97151	0.78534
0	1	1	0	0	1	1	2	1	0.96961	0.75707
0	1	0	1	1	1	1	4	1	0.96443	0.73196
1	0	1	1	1	1	1	1	1	0.95976	0.72047

Network opinion leader network center analysis

Number	Degree of degree		Intermediate center	Proximity center
	Point of entry	Point of point		Point of entry	Point of point
4	32	24	931.468	1.142	42.44
7	24	5	-0.002	1.155	0.458
14	39	27	1329.819	1.137	38.833
20	20	0	0.001	1.151	0.453
26	15	55	2250.844	1.142	48.665
30	20	40	1008.741	1.138	46.299
35	3	45	659.182	1.138	44.784
39	29	37	1100.43	1.142	44.601
40	38	10	735.769	1.141	37.694
44	55	2	-0.003	1.185	0.45
54	8	2	-0.002	1.166	0.456
53	39	60	3147.566	1.142	50.347
57	5	72	941.89	1.127	53.547
63	12	57	2071.452	1.137	48.028
79	32	15	552.177	1.14	37.89
110	39	7	573.175	1.145	34.487
117	4	70	1182.809	1.138	51.532
138	11	47	785.078	1.137	48.452
139	59	43	4782.496	1.143	47.198
149	15	45	1439.679	1.141	46.299
151	17	28	889.613	1.137	45.44
153	15	21	1055.204	1.138	38.695
167	37	27	2035.956	1.141	41.247
169	8	57	1146.632	1.136	46.694
172	10	42	758.193	1.134	45.341
174	-2	41	408.982	1.125	47.509
184	31	1	-0.001	1.148	0.451
186	32	17	440.521	1.144	38.157
188	19	60	1391.888	1.139	49.213
216	2	1	0	1.163	0.453
219	7	21	1415.074	1.134	39.249
225	8	3	-0.001	1.174	0.457

Network opinion leader structure hole analysis

17	46.047	0.84	0.074	0.084
28	53.354	0.846	0.068	0.114
34	41.913	0.855	0.086	0.116
42	42.488	0.819	0.077	0.056
54	56.297	0.815	0.064	0.079
57	63.758	0.874	0.059	0.108
66	55.359	0.878	0.064	0.089
108	32.498	0.812	0.098	0.069
115	60.213	0.885	0.059	0.097
139	56.614	0.821	0.062	0.069
145	37.105	0.825	0.089	0.118
166	41.555	0.829	0.08	0.064
168	50.587	0.887	0.076	0.16
172	40.458	0.827	0.086	0.092
176	34.011	0.81	0.093	0.056
190	53.275	0.832	0.07	0.11
215	26.833	0.892	0.113	0.103
219	26.047	0.892	0.112	0.112