Abstract: Non-farm employment of rural labor force can provide more income sources and development opportunities for rural residents.Based on the data of CGSS2018,this study uses factor analysis to extract three common factors of neighbors,relatives and friends in rural social network,and empirically analyzes the impact of social network on the non-farm employment of rural labor force by using binary logistics regression model,and explores the mediating role of subjective class identification. The study shows that:among the three main groups of rural social network,communication with neighbors and relatives will inhibit non-agricultural employment,while communication with friends will have a positive effect;social network will influence non-farm employment choice by shaping class identification. The study proposes some countermeasures such as further improving rural infrastructure construction and social security system,promote communication and cooperation between different social groups.