 We propose a meta-method called HirHide (Hierarchical Hidden Community Detection), which can adopt any standard community detection method as the base algorithm and enable it to discover hierarchical hidden communities as well as boosting the detection on hierarchical strong communities. To our knowledge, this is the first combination of hierarchical structure with hidden structure, which provides a new perspective for finding protein complexes of various strengths and scales .
<coherence>  We propose a meta-method called HirHide (Hierarchical Hidden Community Detection), which can adopt any standard community detection method as the base algorithm and enable it to discover hierarchical hidden communities as well as boosting the detection on hierarchical strong communities. To our knowledge, this is the first combination of hierarchical structure with hidden structure, which provides a new perspective for finding protein complexes of various strengths and scales .
 We propose a meta-method called HirHide (Hierarchical Hidden Community Detection), which can adopt any standard community detection method as the base algorithm and enable it to discover hierarchical hidden communities . It is the first combination of hierarchical structure with hidden structure, which provides a new perspective for finding protein complexes of various strengths and scales .