方法证据记录
Community Detection
Community detection is a family of graph-partitioning algorithms that discover densely connected sub-groups — communities — within a network. First formalised through the modularity measure by Girvan and Newman (2002), the field advanced rapidly with the Louvain method (Blondel et al., 2008), the Leiden refinement (Traag et al., 2019), and the information-theoretic Infomap approach. All variants answer the same question: which nodes cluster together more tightly among themselves than with the rest of the network?
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Community Detection (Louvain, Girvan-Newman, Leiden, Infomap)
分类方法记录 · process-pipeline / network-analysis
- Blondel, V.D., Guillaume, J.-L., Lambiotte, R. & Lefebvre, E. (2008). Fast Unfolding of Communities in Large Networks. Journal of Statistical Mechanics, 2008(10), P10008. · DOI 10.1088/1742-5468/2008/10/P10008
- Traag, V.A., Waltman, L. & van Eck, N.J. (2019). From Louvain to Leiden: Guaranteeing Well-Connected Communities. Scientific Reports, 9, 5233. · URL
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