Abstract: The rural living space network is a social space system formed by rural residents in a certain area relying on the community node space and through the practice of daily life. Exploring its spatial structure and optimization strategy is important for understanding the connotation of rural living space and reshaping the daily life order of the village. Taking the nine community nodes cultivated in the typical rural construction area of Jianghan Plain as the research object, based on the ternary system of rural living space network, the community life quality index system is constructed, and the improved gravitation model and social network analysis method are used to describe the overall characteristics and node characteristics of the network structure, and propose a rural living space network optimization strategy. The results show that the network structure of regional rural living space is at the development stage, the network has both overall loose and local agglomeration characteristics, and the relationship between communities is strengthening. The quality of rural living space network nodes needs to be improved, and the network presents a hierarchical 3-level node system with core nodes. Although it has an irreplaceable network status, its quality needs to be improved. The structure of secondary nodes often has similarity and needs to be cultivated preferentially. The edge nodes need to enrich the internal and external connections of the network. Based on this, it is necessary to construct a rural living space network structure of “one heart, eight nodes, one axis, there areas”(community seven plays the role of “one heart” and is the growth pole of the district; “eight nodes” is the three development communities and five basic communities, which are the key nodes of the rural living space network structure; “one axis” is The development axis in the north-south direction connects the main community nodes; the “three areas” is the core area, development area and cultivation area of the optimized living space). In order to evaluate and identify the characteristics of regional network nodes, predicting and constructing a regional networked development system provides new ideas and provides a new model for network development in the rural areas of plain agricultural areas.