Clarifying the relationship of housing prices among cities in the Yangtze River Delta region is important for the healthy development of the property sector in this region. Based on the data of 41 cities in the Yangtze River Delta from 2011 to 2020， the paper uses gravitational model and social network analysis （SNA） method to correlate commercial housing prices among cities in the Yangtze River Delta. The results show that there is a correlation between housing prices in the Yangtze River Delta cities， forming a relatively stable correlation network， but the correlation degree is not high. Shanghai， Suzhou， Wuxi， Nanjing and other cities are the centers of the network， which affects the changes of housing prices in the Yangtze River Delta. Northern Jiangsu and most of Anhui are on the periphery of the network， and the influence of housing prices is insufficient. Inter-city property investment， residents'' purchasing power， economic development， proportion of the tertiary industry and provincial differences have a significant impact on the inter-city housing price relationship. Finally， based on the characteristics of the Yangtze River Delta housing price correlation network， suggestions for improving property regulation policies are put forward.