Chasing “strange animals”: Network analysis tools for the economic study of supra-dyadic structures

Delio Lucena-Piquero, Stefano Ugolini and Jérôme Vicente ()
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Delio Lucena-Piquero: University of Toulouse, Sciences-Po Toulouse (LEREPS)
Stefano Ugolini: University of Toulouse, Sciences-Po Toulouse (LEREPS)
Jérôme Vicente: University of Toulouse, Sciences-Po Toulouse (LEREPS)

Journal of Evolutionary Economics, 2025, vol. 35, issue 4, No 2, 629-658

Abstract: 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.

Keywords: Higher-order networks; Supra-dyadic structures; Structural equivalence; Hyperstructures; Places; Chains (search for similar items in EconPapers)
JEL-codes: B41 D85 E14 L14 (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s00191-025-00903-y

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