Structuring International Governance through the Space of Concerns
2026-06-25T08:52:14Z•12e96585a035438bea2794037f8b8e1621ff82e7143507b8c2da6b41e777e304
Antarctic-TreatyBlueskyIQP-circuitsTGNacademic-inequalityclimate-discoursecoauthorship-networkdynamic-graphsedge-interventionsfunctional-memorygraph-neural-networkshamiltonian-optimizationlink-predictionmigration-modelsmisinformation-risknetwork-scienceopinion-dynamicspaid-advertisingpolicy-governancequantum-computingsocial-mediaspectral-algorithmsstochastic-processestemporal-graphsweight-geometry
What happened
This collection of recent arXiv preprints spans network science, political/institutional analysis, machine learning for dynamic graphs, quantum circuit optimization, and social-media discourse/credibility. Key contributions include: a method to recover hidden political structure from documentary records via a ‘space of concerns’ (Antarctic Treaty corpus); a stochastic framework coupling opinion dynamics with migration; demonstration that weight geometry governs functional memory across diverse networks; a hybrid TGN–SEAL model improving link prediction on sparse temporal graphs; a simplified,
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_si
- Record identifier
- 12e96585a035438bea2794037f8b8e1621ff82e7143507b8c2da6b41e777e304
- Enrichment time
- 2026-06-25T08:52:14Z
- AI-assisted enrichment
- Yes
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