 Here we develop CRank, an automatic method for prioritizing network communities and identifying the most promising ones for further experimentation . CRank efficiently evaluates robustness and magnitude of structural features of each community and then combines these features to obtain the community prioritization.
<clarity>  Here we develop CRank, an automatic method for prioritizing network communities and identifying the most promising ones for further experimentation . CRank efficiently evaluates robustness and magnitude of structural features of each community and then combines these features to obtain the community prioritization.
 Here we develop CRank, a mathematically principled approach for prioritizing network communities and identifying the most promising ones for further experimentation . CRank efficiently evaluates robustness and magnitude of structural features of each community and then combines these features to obtain the community prioritization.