Objective To investigate the symptoms of perimenopausal syndrome in community-dwelling women and to identify the core symptoms and their associated factors using network analysis.Methods A cross-sectional survey was conducted in 628 community-dwelling women.A general information questionnaire, the Kupperman Index, the Menopause-specific Quality of Life Questionnaire, the type D scale (DS14), and the Montreal Cognitive Assessment were used to collect data.The network analysis was performed in the R statistical programming language.The Fruchterman-Reingold algorithm was used to place stronger connected nodes closer together and to represent the network graphically.Centrality measures, accuracy and stability were examined to identify the core nodes in the network structure.Results The prevalence of perimenopausal syndrome in women in the community was 79.78%, and the 5 most prevalent symptoms were insomnia (85.83%）, agitation (83.43%）, fatigue (82.83%）, bone and joint pain (66.27%）, and sexual abnormality (63.47%）. The most severe symptom was insomnia, and the top 3 symptoms listed according to node strength were bone and joint pain (rS=1.18）, sensory abnormalities (rS=1.04）, and hot flashes and sweating (rS=0.94）.The strength of associated factors were menopause-specific quality of life (rS=2.68）, type D personality (rS=-0.55）, and cognitive function (rS=-1.19）.Conclusion The central symptoms of perimenopausal syndrome in community-dwelling women are bone and joint pain, sensory abnormalities, hot flushes and sweating.Menopause-specific quality of life is the most central node in the network structure of associated factors.Community health workers can formulate precise interventions based on the central symptoms and factors, thus to improve symptom management of women with perimenopausal syndrome in the community.