Can LLM Agents Simulate Dynamic Networks? A Case Study on Email Networks with Phishing Synthesis
arXiv 2605.12507•5d53a9b21327f8db0419cdc6505f547a8cae29a862d5ea1276bca057f6aac6dc
DeFiGraphMindHawkes processLLM agentsUSER EVIDENCE NETWORKWhaVaxWhatsAppbot detection evasionbridge hackscold userscross-chain riskdatasetfake-news detectiongraph neural networksinfluence maximizationinteroperabilitymisinformationmulti-agent systemsnetwork simulationphishingsocial botnetsocial engineeringvaccine misinformation
Paper metadata
- arXiv ID
- 2605.12507
- 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
- 5d53a9b21327f8db0419cdc6505f547a8cae29a862d5ea1276bca057f6aac6dc
- Enrichment time
- 2026-05-14T08:52:18Z
- AI-assisted enrichment
- Yes
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