Community-Aware Vertex Ordering for Reference-Based Graph Compression: A Cross-Encoder Empirical Study
2026-05-22T08:52:24Z•746d04675e007e4319e8eb486a29ace8e8332327a37f0b093273313db09070ec
LLM-evaluationchange-point-detectioncommunity-detectioncoordination-detectioncovert-networksdisinformationgraph-compressiongraph-partitioninglink-predictionnetwork-analysisrelational-validationsampling-biassocial-mediasynthetic-narrativestemporal-networks
What happened
This feed contains multiple CS/SI papers with direct relevance to information operations, network inference, and the reliability of LLM-derived knowledge. The most security‑salient paper presents a cross‑platform detection framework for synthetic political narratives (SNC score) that combines lexical, temporal, rhetorical, and semantic coordination signals and demonstrates practical application across Telegram and Reddit—highlighting both high-coordination actors and limits of single‑metric approaches. Complementary works examine network‑centric tools useful to defenders and analysts: missing‑
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_si
- Record identifier
- 746d04675e007e4319e8eb486a29ace8e8332327a37f0b093273313db09070ec
- Enrichment time
- 2026-05-22T08:52:24Z
- AI-assisted enrichment
- Yes
This record may overlap with other records. Its enrichment can be incomplete or wrong, and machine assistance was used. Validate consequential decisions against the linked source and your own environment.