Research Article
Studying the Regional Cyberspace by Exploiting Internet Sequential Information Flows
Table 10
Composite scores and rankings for each province.
| Provinces | Composite Scores | Information level rankings | Provinces | Composite Scores | Information level rankings |
| Guangdong | 0.8322 | 1 | Shaanxi | 0.2879 | 17 | Jiangsu | 0.614 | 2 | Heilongjiang | 0.2651 | 18 | Zhejiang | 0.5805 | 3 | Jiangxi | 0.2471 | 19 | Shanghai | 0.5223 | 4 | Shanxi | 0.2348 | 20 | Beijing | 0.4595 | 5 | Guangxi | 0.2314 | 21 | Shandong | 0.4173 | 6 | Yunnan | 0.2305 | 22 | Sichuan | 0.3704 | 7 | Chongqing | 0.2253 | 23 | Hubei | 0.3584 | 8 | Jilin | 0.2162 | 24 | Hunan | 0.3245 | 9 | Xinjiang | 0.1724 | 25 | Fujian | 0.3242 | 10 | Gansu | 0.1677 | 26 | Henan | 0.3232 | 11 | Qinghai | 0.1599 | 27 | Hebei | 0.3212 | 12 | Guizhou | 0.1527 | 28 | Liaoning | 0.3159 | 13 | Ningxia | 0.1474 | 29 | Neimenggu | 0.3133 | 14 | Xizang | 0.0971 | 30 | Tianjin | 0.3099 | 15 | Hainan | 0.0866 | 31 | Anhui | 0.3059 | 16 | | | |
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