Generating Synthetic Citation Networks with Communities
2026-04-29T08:52:14Z•b702457537afbc428e195bf06a9d19d7f1f0cf4e01c0b46ffb5dd54e79525ebe
DiReO(N+E)UMAP-alternativeatomic-transactionsbenchmarkscitation-networkscitation-seedercommunity-detectiondegree-corrected-block-modeldimensionality-reductionformal-methodsgraph-streaminggraphletsgrassroots-platformsmathlib-dependency-analysismatrix-factorizationmultiagent-systemsnetwork-benchmarksoverfitting-in-generatorsprice-pareto-modelscalabilitystochastic-block-modelsynthetic-graph-generatorstopology-faithfulness
What happened
Collection of recent network-science and formal-methods papers (arXiv CS/SI) focused on realistic synthetic graph generation, community-detection benchmarks, scalable graph algorithms, topology-preserving dimensionality reduction, and formal models for multiagent systems. Highlights include: the Citation Seeder (CS) generator (Price-Pareto based, interpretable, O(N+E)); a systematic evaluation of 12 near-acyclic directed-graph generators and a practical ‘‘reverse-edge’’ trick to induce citation-like flow; a streaming algorithm for k-graphlet sampling with improved pass/memory tradeoffs; DiRe,a
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_si
- Record identifier
- b702457537afbc428e195bf06a9d19d7f1f0cf4e01c0b46ffb5dd54e79525ebe
- Enrichment time
- 2026-04-29T08:52:14Z
- AI-assisted enrichment
- Yes
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