Objective To conduct concurrent network analysis on symptoms in cervical cancer patients undergoing concurrent chemoradiotherapy, to clarify the dynamic evolutionary characteristics and core driving symptom clusters across different treatment cycles, so as to provide references for clinical precision symptom management. Methods A convenience sample of 350 cervical cancer patients undergoing concurrent chemoradiotherapy was enrolled, then they were assessed using the Symptom Evaluation Scale after the 1st (T1), the 3rd (T2), and 5th (T3) cycle of concurrent chemoradiotherapy.The R language igraph package combined with the Walktrap algorithm was used to identify symptom clusters; concurrent symptom networks were constructed via packages such as qgraph and mgm to explore changes in symptom clusters. Results As concurrent chemoradiotherapy cycles progressed, the participants′ overall severity of symptoms showed a significant worsening trend (P＜0.05).The composition and core driving characteristics of symptom clusters varied across cycles:at T1, 5 symptom clusters were identified; the psychological symptom cluster exhibited the widest node connection breadth and strongest association strength, serving as the core driver and exerting a long-term transmission effect on symptom development at T2 and T3.At T2, 5 symptom clusters were identified; the somatic symptom cluster (with fatigue as the key target) became the core driving cluster, while the intestinal symptom cluster showed significant long-term persistence.At T3, 6 symptom clusters were identified; the intestinal symptom cluster (driven by radiation proctitis) had the largest node size and closest associations, emerging as the core driving cluster in this phase. Conclusion Symptom clusters in cervical cancer patients undergoing concurrent chemoradiotherapy exhibit dynamic deconstruction and reorganization across treatment cycles.Clinical healthcare providers should establish a cycle-adapted precision symptom management model and develop targeted strategies for core symptom clusters in different cycles, to effectively alleviate the patients′ symptom distress throughout the treatment course.