Topological Modelling in Public Procurement and Platform Economies: An Interdisciplinary Legal–Economic Framework

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F25%3A43927916" target="_blank" >RIV/62156489:43110/25:43927916 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.3390/ijt2040018" target="_blank" >https://doi.org/10.3390/ijt2040018</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/ijt2040018" target="_blank" >10.3390/ijt2040018</a>

Result language

angličtina

Original language name

Topological Modelling in Public Procurement and Platform Economies: An Interdisciplinary Legal–Economic Framework

Original language description

This article develops an interdisciplinary framework that applies topological and graph-theoretical methods to public procurement markets and digital platform economies. Conceptualizing legal-economic interactions as dynamic networks of nodes and edges, we show how structural properties-centrality, clustering, connectivity, and boundary formation-shape contestability, resilience, and compliance. Using EU-relevant contexts (public procurement directives and the Digital Markets Act), we formalize network representations for buyers, suppliers, platforms, and regulators; define operational indicators; and illustrate an empirical, value-weighted buyer RIGHTWARDS ARROW supplier network to reveal a sparse but highly modular architecture with a high-value backbone. We then map these structural signatures to concrete legal levers (lotting and framework design, modification scrutiny, interoperability and data-access duties) and propose dashboard-style diagnostics for proactive oversight. The findings demonstrate how topological modelling complements doctrinal analysis by making hidden architectures visible and by linking measurable structure to regulatory outcomes. We conclude with implications for evidence-informed regulatory design and a research agenda integrating graph analytics, comparative evaluation across jurisdictions, and machine-learning-assisted anomaly detection.

Czech name

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Czech description

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Type

J_ost - Miscellaneous article in a specialist periodical

CEP classification

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OECD FORD branch

50202 - Applied Economics, Econometrics

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

International Journal of Topology

ISSN

2813-9542

e-ISSN

2813-9542

Volume of the periodical

2

Issue of the periodical within the volume

4

Country of publishing house

CH - SWITZERLAND

Number of pages

15

Pages from-to

18

UT code for WoS article

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EID of the result in the Scopus database

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