Vous êtes ici :
- Accueil
- Actus
- Actualités
- Publication,
D. Lucena, S. Ugolini et J. Vicente publient sur le Journal of Evolutionary Economics : "Chasing ’strange animals’ : Network analysis tools for supra-dyadic structures"
Publié le 18 juin 2025
–
Mis à jour le 19 juin 2026
Date(s)
le 18 juin 2025
Abstract
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.
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.