ROADMAP.md

Roadmap

Version 0.1 — Conceptual foundation

• Doctoral README
• Algorithm taxonomy
• Sociological interpretation guide
• Implementation matrix
• Bibliography
• Quickstart example

Version 0.2 — Classical SNA implementations

• Degree, strength and weighted degree
• Closeness and harmonic centrality
• Betweenness and edge betweenness
• Eigenvector, Katz, PageRank and HITS
• k-core and coreness
• Structural holes: constraint, effective size, efficiency
• Assortativity and homophily measures
• Clique and cohesive subgroup algorithms

Version 0.3 — Community detection

• Girvan-Newman improvements
• Louvain wrapper and tests
• Leiden wrapper
• Label propagation
• Infomap notes
• Spectral clustering notebook
• SBM comparison notebook
• Robustness checks across algorithms

Version 0.4 — Diffusion and dynamics

• Independent cascade simulation
• Linear threshold simulation
• Complex contagion simulation
• SIR/SIS models
• Temporal paths
• Dynamic centrality
• Relational event model notes

Version 0.5 — Statistical models

• ERGM conceptual guide
• R/statnet bridge notebook
• RSiena guide
• Latent space models
• Stochastic block models
• Network autocorrelation

Version 0.6 — Graph machine learning

• DeepWalk
• node2vec
• GraphSAGE
• GCN
• GAT
• Link prediction benchmarks
• Explainability notes

Version 1.0 — Doctoral research toolkit

• Full documentation site
• Tested Python package
• Reproducible notebooks
• Public datasets
• Benchmark reports
• Teaching exercises
• Citation file
• Release archive