Symptom Distribution Regulation of Core Symptoms in Insomnia Based on Informap-SA Algorithm

In the recent decade, clinical data mining in Traditional Chinese Medicine (TCM) based on complex networks has been becoming a hot topic. In this paper, we construct the "Symptom-Prescription" bipartite network in insomnia, which can intuitively reflect the relationship between prescriptions and symptoms in insomnia. And then, through projection of this bipartite network, the "symptom" network is generated. Based on the "symptom" network, the idea of node centrality is introduced to identify the core symptom nodes, which disclose the key factors in clinical diagnosis and treatment. Furthermore, the "symptom" network is divided into several communities detected by Infomap-SA algorithm, the nodes in the same community reveal the concurrent rule of symptoms in insomnia, which has practical guiding significance for clinical diagnosis and treatment in TCM.