Abstract: Many systems can be described as complex social networks, and increasing attention has been paid to the detection of social communities out of complex social networks. Structured-based community detection can be achieved locally without knowledge of the overall situation. The community fitness characteristics of social networks can help to identify community structures at different fitnesses. A new algorithm based on structure and fitness was proposed to test large generated networks and real networks. Experiments had shown its better efficiency and higher accuracy.