Metodebevisregistrering
Dynamic Community Detection
Dynamic community detection identifies groups of densely connected nodes in networks that evolve over time, tracking how communities form, merge, split, and dissolve across temporal snapshots. Developed to extend static modularity optimization to time-varying structures, it is widely used in social, biological, and communication network research.
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Dynamic Community Detection in Evolving Networks
Taksonomisk metoderegistrering · ml-model / network-analysis
- Mucha, P. J., Richardson, T., Macon, K., Porter, M. A., & Onnela, J.-P. (2010). Community structure in time-dependent, multiscale, and multiplex networks. Science, 328(5980), 876–878. · DOI 10.1126/science.1184819
- Fortunato, S., & Hric, D. (2016). Community detection in networks: A user guide. Physics Reports, 659, 1–44. · DOI 10.1016/j.physrep.2016.09.002
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