Complex Network Analysis Techniques

External reference: https://openalex.org/T10064

  1. DerStandard dataset spans ten years of comments and votes
  2. Ontology-guided LLMs extract cybersecurity knowledge graphs from logs
  3. Algorithm enumerates maximal balanced quasi-cliques in signed graphs
    Discover maximal balanced quasi-clique enumeration for signed graphs. A novel NP-hard algorithm identifies cohesive subgraphs with positive and negative edges using branch-and-bound optimization.
  4. Graph correlations test independence between binary networks
    Framework for testing conditional and unconditional independence between binary graphs using community correlations and graph encoder embeddings.
  5. Model identifies roles and trade-offs in multiplex networks
    Framework for identifying roles in multiplex networks by modeling trade-offs across layers while accounting for independence, dependence, and interdependence mechanisms.
  6. Rumor model identifies thresholds for extinction and persistence
    Mathematical analysis of rumor propagation using compartmental models with reproduction numbers and control strategies for misinformation mitigation through fact-checking and contact reduction.
  7. HKEN improved influential-node identification in network tests
    Algorithm for identifying influential nodes in complex networks by integrating hierarchical k-shell decomposition with extended neighborhood analysis, validated against SIR propagation models.