ArticleScientific reports2020
Detecting coalitions by optimally partitioning signed networks of political collaboration.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Empirical evidence for structural balance theory in functional brain networks.Frontiers in network physiology · 2025Article
- Unpacking polarization: Antagonism and alignment in signed networks of online interaction.PNAS nexus · 2024Article
- An evaluation tool for backbone extraction techniques in weighted complex networks.Scientific reports · 2023Article
- backbone: An R package to extract network backbones.PloS one · 2022Article
- Comparing alternatives to the fixed degree sequence model for extracting the backbone of bipartite projections.Scientific reports · 2021Article
- A signed network perspective on the government formation process in parliamentary democracies.Scientific reports · 2021Article
- Article
- Legislators' roll-call voting behavior increasingly corresponds to intervals in the political spectrum.Scientific reports · 2020Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We propose new mathematical programming models for optimal partitioning of a signed graph into cohesive groups. To demonstrate the approach's utility, we apply it to identify coalitions in US Congress since 1979 and examine the impact of polarized coalitions on the effectiveness of passing bills. Our models produce a globally optimal solution to the NP-hard problem of minimizing the total number of intra-group negative and inter-group positive edges. We tackle the intensive computations of dense signed networks by providing upper and lower bounds, then solving an optimization model which closes the gap between the two bounds and returns the optimal partitioning of vertices. Our substantive findings suggest that the dominance of an ideologically homogeneous coalition (i.e. partisan polarization) can be a protective factor that enhances legislative effectiveness.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.