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Linganisha mbinu

Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.

Ugunduzi wa Jumuiya×Uchambuzi wa Ustahimilivu na Maambukizi ya Mtandao×
NyanjaUchanganuzi wa MitandaoUchanganuzi wa Mitandao
FamiliaProcess / pipelineProcess / pipeline
Mwaka wa asili2002–2019 (algorithm family)2000
MwanzilishiLouvain: Blondel et al. (2008); Leiden: Traag et al. (2019); Girvan-Newman: Girvan & Newman (2002); Infomap: Rosvall & Bergstrom (2008)Albert, Jeong & Barabási
AinaGraph-partitioning / clustering algorithm familyNetwork robustness / vulnerability framework
Chanzo asiliaBlondel, 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 ↗Albert, R., Jeong, H. & Barabási, A.L. (2000). Error and attack tolerance of complex networks. Nature, 406, 378–382. DOI ↗
Majina mbadalagraph clustering, network partitioning, Topluluk Tespiti (Louvain, Girvan-Newman, Leiden)network vulnerability analysis, attack tolerance analysis, Ağ Dayanıklılığı ve Güvenlik Açığı Analizi
Zinazohusiana55
MuhtasariCommunity 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?Network resilience and vulnerability analysis is an analytical framework, formalised by Albert, Jeong, and Barabási (2000), that measures how a network degrades functionally as nodes or edges are progressively removed. By running targeted-attack simulations — removing the highest-centrality nodes first — and random-failure simulations — removing nodes at uniform probability — the framework identifies which structural elements are critical to network integrity and where infrastructure is most exposed.
ScholarGateSeti ya data
  1. v1
  2. 2 Vyanzo
  3. PUBLISHED
  1. v1
  2. 2 Vyanzo
  3. PUBLISHED

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ScholarGateLinganisha mbinu: Community Detection · Network Resilience Analysis. Imepatikana 2026-06-19 kutoka https://scholargate.app/sw/compare