Transition State Theory for Network Dynamics
arXiv 2603.07147•e5765faab45efba448f80a01f5786647b966c36f5bfab77519cfad3ea0e150a5
AI-generated-misinformationDS-DGA-GCNPOI-recommendationReddit-analysisactive-learningbus-factorcausal-maskingcold-start-clusteringdynamic-graph-attentiondynamic-networksecho-chambersfairnessfake-review-detectiongraph-neural-networkshypergraph-learningimage-labelingplatform-polarizationpolarized-community-detectionproject-riskpublic-transitride-hailingsigned-networkstransition-state-theoryviral-content
Paper metadata
- arXiv ID
- 2603.07147
- Version
- Not specified by this published record
- Category
- Computer Science — Social and Information Networks (cs.SI)
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Evidence and limitations
- Source ID
- arxiv_cs_si
- Record identifier
- e5765faab45efba448f80a01f5786647b966c36f5bfab77519cfad3ea0e150a5
- Enrichment time
- 2026-03-10T08:52:19Z
- AI-assisted enrichment
- Yes
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