Identifying hidden coalitions in the US House of Representatives by optimally partitioning signed networks based on generalized balance

Abstract In network science, identifying optimal partitions of a signed network into internally cohesive and mutually divisive clusters based on generalized balance theory is computationally challenging. We reformulate and generalize two binary linear programming models that tackle this challenge, d...

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Auteurs principaux: Samin Aref, Zachary P. Neal
Format: article
Langue:EN
Publié: Nature Portfolio 2021
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Accès en ligne:https://doaj.org/article/34a0bce2163942f3b3faba2aff7cd3db
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