<p>Real-world economies feature social structures without formal frontiers that lie between the micro and macro levels. Traditional network analysis tools fail to account properly for these supra-dyadic structures, which emerge from individual interactions, shape economic aggregates, and in turn affect micro behaviors. We argue that supra-dyadic network analysis tools can correct the biases of traditional dyadic ones. We present two new methodologies: the “place-based methodology” (assessing agents’ structural equivalence in affiliation networks) and the “chain-based methodology” (assessing agents’ substitutability in sequential interaction networks). We discuss their possible applications and potential to renew the study of evolutionary and institutional dynamics.</p>