Study on the Spatial Structure of Urban Networks in Henan Province

Abstract

With the coming of the Internet information age, interactive information contact has become an important means of intercity element flow. Based on the attention data of Baidu users in Henan in 2013, 2017 and 2021, a city network in Henan province based on information flow is constructed. The Louvain algorithm is used for network community mining, and the spatial distribution and structural structure of Baidu users in Henan province are summarized. Louvain algorithm is used for network community mining, and the spatial distribution and structural characteristics of the city network in Henan Province are deeply analyzed. The results show that: 1) the urban network in Henan province is closely connected, and the total amount of information flow presents a rapid growth trend. The results show that: 1) the urban network in Henan province is closely connected, and the total amount of information flow presents a rapid growth trend. Zhengzhou city has a very obvious agglomeration effect, and it is in the core position of the whole network with great development potential. The core position of the network will be further enhanced in the future. 2) The grade distribution of urban network shows "5+19+32+30+34". +30+34". During 2013-2021, the connection of urban network in Henan Province has been strengthened obviously. Wuzhi County, Zhongmou County, Gongyi City, Wen County and other low-grade cities rely on the urban network of Henan Province. Wuzhi County, Zhongmou County, Gongyi City, Wen County and other low-grade cities rely on Zhengzhou to realize their own transition, and the distribution of urban hierarchy has a reasonable trend. 3) The spatial distribution of community groups has been strengthened in Henan Province. The spatial distribution of community groups divided by Baidu Index information flow is consistent in urban agglomerations in the province, basically in line with the urban development pattern of the city. The spatial distribution of community groups divided by Baidu Index information flow is consistent in urban agglomerations in the province, basically in line with the urban development pattern of one main region and one sub-region. From 6 community groups in 2013 to 4 community groups in 2021, the city From 6 community groups in 2013 to 4 community groups in 2021, the city structure of community groups has changed from scattered and fragmented to more clustered board development, and the number of isolated cities has decreased. The stability of urban networks has been enhanced.