The Strength of Local Structures in Decentralized Network Formation

I study dynamic network formation games in which agents meet stochastically and form links based on their valuation of the network. I show that these games can be represented in terms of the values agents assign to network sub-structures. Particularly, this characterizes potential games as those where all participants in a structure value it equally. When valuations are restricted to a finite set of repeated sub-structures, or motifs, the model exhibits phase transitions: small changes in motif values cause discontinuous shifts in network density.

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Publication Details

Journal
ArXiv.org
Published
2025-10-13
Primary Topic
Game Theory and Applications
Type
article
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article

The Strength of Local Structures in Decentralized Network Formation

ArXiv.org
Game Theory and Applications
article

The Strength of Local Structures in Decentralized Network Formation

article en

Abstract

I study dynamic network formation games in which agents meet stochastically and form links based on their valuation of the network. I show that these games can be represented in terms of the values agents assign to network sub-structures. Particularly, this characterizes potential games as those where all participants in a structure value it equally. When valuations are restricted to a finite set of repeated sub-structures, or motifs, the model exhibits phase transitions: small changes in motif values cause discontinuous shifts in network density.

ArXiv.org
Yale University (US)
Reduced inequalities
Openalex Percentile: Top 39%
Game Theory and Applications
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The Strength of Local Structures in Decentralized Network Formation · ArXiv.org (2025) | TGRS Research Map | TGRS