Abstract

The rapid urbanisation of China has increased public awareness of rising housing prices, particularly in large and medium-sized cities. The popularisation of the Internet in China has driven a shift in the public's attention to housing prices, moving from geographic space to cyberspace. Based on web search engine data using geotag, this paper attempts to create a better visualisation of the shift in the public's attention to housing prices from the perspectives of geographic space and cyberspace. Intercity interaction is also analysed in the context of cyberspace-based urban networks, through hybrid featured graphics. Specifically, data regarding public attention to housing prices are gathered (via queries data through Baidu Index) in 363 Chinese cities. The data are divided into a local city housing price attention index and an offsite city housing price attention index. Second, public attention flows are presented using origin-destination flows maps, chord diagrams and violin diagrams. These hybrid feature graphics show the interrelationship between cities and the complexity of public attention flows. This information will help us to reveal intercity interaction and the cyberspace-based urban network structure in China.

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