Hierarchical Community Detection in Bipartite Networks

2026-04-13T08:52:20Zdd853a6e6ff53b6cb197090326e718777f99e4c916d61fa0cb0421d1f156addc
AI-generated-contentLLM-biasagent-based-simulationbipartite-networkscommunity-detectioncontent-moderationcoordinated-behaviordisinformationinfluence-operationsinformation-integritymisinformationnetwork-analysisrecommendation-systemsself-censorshipsocial-media

What happened

Collection of recent papers on social network analysis, misinformation, LLM-driven simulations, recommendation incentives, and methods for detecting coordinated online behavior. Key security-relevant contributions: a new modularity-based objective (Qbg) for hierarchical community detection in bipartite/weighted networks useful for uncovering hidden hierarchical structures in actor–item systems; a comprehensive survey of coordinated online behavior outlining detection frameworks, methods, and open challenges; empirical findings that LLM simulations overstate belief–sharing links and largely忽ore

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_cs_si
Record identifier
dd853a6e6ff53b6cb197090326e718777f99e4c916d61fa0cb0421d1f156addc
Enrichment time
2026-04-13T08:52:20Z
AI-assisted enrichment
Yes

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