SYNAPSE-4C (SYNthetic Academic Professional Social Ecosystem - 4 Connections)

Researcher nodes are shared identically across all four layers, enabling true multiplex analysis 3. Four distinct relational layers capture different collaboration mechanisms: co-authorship, project, grant, and interaction 4. Six clean tabular data files - profiles, temporal evolutions, publications, projects, grants, interactions - each independently usable or joinable 5.

Edge weights encode relationship strength or frequency, not just binary presence or absence 6. Temporal fields on every relationship support snapshot analysis, time-slicing, and dynamic graph modeling 7. Topic vectors per researcher node and explicit interdisciplinarity scores enable semantic and cross-domain analysis 8.

Role-based and domain-aware generation rules produce graph behavior that mirrors real academic networks 9. Isolated and low-activity nodes are deliberately kept, preserving natural sparsity and making benchmarks more realistic 10.Purpose-built for community detection, link prediction, multiplex layer fusion, and graph neural network experiments