Open Access

Study on the Application of New Media Technology in the Digital Protection and Dissemination of Traditional Drama-Taking Sichuan Opera as an Example

  
Sep 26, 2025

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Figure 1.

Relationship between the four types of graphs
Relationship between the four types of graphs

Figure 2.

Three coupled networks
Three coupled networks

Figure 3.

A random graph of the different structures of the secondary
A random graph of the different structures of the secondary

Figure 4.

A random graph of the different structures of the secondary
A random graph of the different structures of the secondary

Figure 5.

DR-SCIR public opinion propagation model
DR-SCIR public opinion propagation model

Figure 6.

The topic and the user’s social network structure visualization
The topic and the user’s social network structure visualization

Figure 7.

The middle center of the topic user
The middle center of the topic user

Figure 8.

The social network topology is condensed subgroup
The social network topology is condensed subgroup

Figure 9.

The influence of opinion leader on the spread of drama
The influence of opinion leader on the spread of drama

Figure 10.

The effect of the view of the view on the spread of the traditional drama series
The effect of the view of the view on the spread of the traditional drama series

Figure 11.

The impact of the interaction of the opinions on the spread
The impact of the interaction of the opinions on the spread

Figure 12.

The influence of interest on the spread of traditional drama
The influence of interest on the spread of traditional drama

The betweenness centrality index of the social network on the topic

Serial number Node name Degree Nrmdegree
1 People’s Daily 64 10.411
2 Sichuan TV 59 9.08
3 The center of the communist youth league 55 9.027
4 thepaper.cn 52 8.091
5 CCTV network 39 7.67
6 People’s Daily 41 7.22
7 Sichuan radio 34 5.908
8 Sichuan daily 33 6.092
9 Climbing daily 29 6.211
10 Sichuan news 31 5.875
11 Sina variety 28 5.834
12 resight 29 5.579
13 Sina video 23 5.116
14 Live broadcast 22 5.07
15 Shu jing 23 4.807
16 Audio-visual China 19 4.76
17 dynamicnews 17 4.53
18 Sichuan TV 16 4.303
19 Chinese dance 15 4.225
20 China news network 14 3.974

Weibo official users and their participation topics and time

User name Topic Time
Sichuan daily Rhymes 6.1
Lunar period Rhymes 6.1
People’s data Rhymes 6.1
Sichuan favorite Rhymes 6.1
Yu Yang intellectual property Rhymes 6.1
Climbing daily Rhymes 6.1
People’s Daily Rhymes 6.1
Sichuan local treasure Rhymes 6.1
Sichuan radio station Rhymes 6.1
Daily up Rhymes 6.1
Live in China Rhymes 6.1
Sichuan TV Rhymes 6.1
Ancient point Rhymes 6.1

Topic information dissemination network structure index

Index Density No.of Ties Mean distance Clustering coefficient
Result 0.03925 645.0000 2.5 0.362

The centrality index of social network on the topic

Serial number Node name Indegree Outdegree
1 People’s Daily 57 42
2 Sichuan TV 34 56
3 The center of the communist youth league 44 41
4 thepaper.cn 29 36
5 CCTV network 32 44
6 People’s Daily 23 36
7 Sichuan radio 19 50
8 Sichuan daily 22 55
9 Climbing daily 21 52
10 Sichuan news 21 39

Proximity centrality measures in social networks

Serial number Node name Infarness Outfarness
1 Sichuan TV 52 56
2 thepaper.cn 72 58
3 Climbing daily 71 92
4 People’s Daily 69 98
5 The center of the communist youth league 73 63
6 Sina variety 74 103
7 Shu jing 85 126
8 Sichuan TV 86 116
9 Chinese dance 120 100
10 Live broadcast 130 102

Structural hole analysis indicators of the social network

Serial number Node name Effective scale Limitation
1 Xinhuanet 30.567 0.08
2 China Daily 33.034 0.075
3 China broadcasting network 31.298 0.093
4 Sichuan TV 32.104 0.068
5 Climbing daily 22.256 0.054
6 People’s Daily 30.225 0.072
7 The center of the communist youth league 32.861 0.108
8 Sina variety 17.56 0.112
9 Tianya 13.866 0.111
10 Live broadcast 12.386 0.156
Language:
English