Name
Abstract | ||
|---|---|---|
The cultural meme is the smallest unit constituting a dynasty ' s culture, which has the same inheritance and variability as biological genes. Here, based on the name of cultural relics, we extract cultural memes through semantic word segmentation, word frequency statistics, and the synonym merging method, and construct dynasty cultural meme vectors. We analyzed color, auxiliary, texture, shape, and overall networks of five types of model to construct the culture network, using the social network analysis method, and explored the clustering and degrees of centrality characteristics of cultural memes. We then analyzed the similarities and differences among cultures of the dynasties. The main conclusions are as follows: (1) Cultural memes represent different cultural characteristics of dynasties, and the inheritance and differences among dynasties' cultures are closely related to their historical background. (2) Prevalence memes construct the cultural label of dynasties, which can roughly restore the cultural appearance of dynasties through fewer prevalence memes. (3) The use of community detection with a cultural meme network can determine the clustering of dynasties ' cultures, and the degree of centrality further reflects the main cultural characteristics presented by successive dynasties. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.3390/info11120584 | INFORMATION |
Keywords | DocType | Volume |
cultural meme, dynasty's culture, big data, social network analysis, word frequency analysis | Journal | 11 |
Issue | Citations | PageRank |
12 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haifeng Li | 1 | 207 | 17.01 |
| Zuoqin Shi | 2 | 0 | 1.35 |
| Li Chen | 3 | 312 | 33.40 |
| Zhenqi Cui | 4 | 0 | 0.34 |
| Sumin Li | 5 | 3 | 2.40 |
| Ling Zhao | 6 | 54 | 2.95 |