Benchmarking Multi-Modal Graph-based Social Media Popularity Prediction

arXiv 2606.27539•7f31ec0111372be0c4d6b776a881d8e8a2e08d264d76c06738494fd3541ca5c6
benchmarkingcommunity detectioncontent moderationde-anonymization riskgraph machine learninggraph topology inferenceinfluence operationsmisinformationmultimodal modelingpolitical signallingprivacyresearch-software linkagesocial mediasoftware supply chaintemporal networks

Paper metadata

arXiv ID
2606.27539
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
7f31ec0111372be0c4d6b776a881d8e8a2e08d264d76c06738494fd3541ca5c6
Enrichment time
2026-06-29T08:52:20Z
AI-assisted enrichment
Yes

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Benchmarking Multi-Modal Graph-based Social Media Popularity Prediction · Baitaphish