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Articles

Intercity networks and urban performance: a geographical text mining approach

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Pages 262-283 | Received 07 Dec 2022, Accepted 09 Jul 2023, Published online: 04 Sep 2023

Figures & data

Figure 1. Correlation matrix. Significance codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’.

Figure 1. Correlation matrix. Significance codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’.

Table 1. Descriptive statistics.

Figure 2. The visualization of top 20% toponym co-occurrence in China.

Figure 2. The visualization of top 20% toponym co-occurrence in China.

Figure 3. Cities’ aggregated toponym co-occurrence versus GDP rank and population size.

Figure 3. Cities’ aggregated toponym co-occurrence versus GDP rank and population size.

Table 2. Top 10 China aggregated toponym co-occurrence.

Table 3. Gravity model result.

Figure 4. Relative strength of relationships between Chinese cities.

Figure 4. Relative strength of relationships between Chinese cities.

Figure 5. Observed toponym co-occurrences compared with gravity model prediction.

Figure 5. Observed toponym co-occurrences compared with gravity model prediction.

Table 4. Results of regression models on metropolitan productivity.

Table 5. Results of regression models by regions.