Research on community structure in metabolic network based on link clustering

Community structure can helpful for identifying functional modules in metabolic network,understanding the structure and function of metabolic network,and thus being an important subject in metabolic network study.However,current com- munity structure methods is mainly conducted by nodes clustering,which results each node only belong to a single community.This paper engages a links clustering based method for analyzing the giant strong component of S.aureus metabolic network from published high-quality models,and obtains 10 functional modules with better biological significance,which suggest that links clustering can identify functional communities in metabolic network.