Based on the data of Douyin fans and Baidu index, we adopted the rank-size model, kernel density estimation, field division, and regional combination to examine the spatial differences of urban network attention, and carried out a comparative analysis. Some conclusions can be drawn as follows. (1) Municipalities and provincial capitals, such as Beijing, Shanghai, Guangzhou, Shenzhen, Chengdu, Hangzhou, Chongqing, Xi'an, Tianjin, and Nanjing, are cities that draw high attention, which are in accordance with some agglomeration regions such as the Yangtze River Delta, Pearl River Delta, and Beijing-Tianjin region. However, cities with low attention are concentrated in agglomeration regions with small and low-density population, such as Chengdu-Chongqing, Central China Plains, and middle and lower reaches of the Yangtze River. (2) From the perspective of the rank-size model, the fitting curve deviates from the ideal state and the q-value is greater than 1.3, reflecting the strong spatial agglomeration effect of high-grade cities in network space. Specifically, the curves of northeastern and western China are similar; that of central China is close to the ideal form; and the high-level agglomeration effect in eastern China is further strengthened according to the data. (3) From the perspective of field division and regional model, the core fields of high attention cities such as Beijing, Shanghai, and Guangzhou are shop exploration, tourism, food, street photography, and entertainment. As for central and western China, the main attractions are real estate, and subways, as well as special food, shop exploration, and street photography. (4) From the perspective of spatial combination, the Yangtze River Delta belongs to multi-center network type, Beijing-Tianjin-Hebei region, Pearl River Delta, Chengdu-Chongqing region, and the middle reaches of the Yangtze River belong to double-center point-axis type, Guanzhong and Zhongyuan urban agglomerations belong to single-center radiation type, and other urban agglomerations belong to single-center or has no-center type. (5) Based on the comparison of Baidu index, cities with high-level network attention are concentrated in eastern China, while the network effect in central and western China is not obvious. (6) In terms of influencing factors, the formation of all these patterns is closely related with the innovation level, digital promotion, and specialization operation of high-quality talents or highly-educated netizens, in addition to economic level with regards to the levels of the modern service industry, informatization process, and transportation.