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Netzwerkdiffusionsanalyse×Zweimodale Netzwerkanalyse×
FachgebietNetzwerkanalyseNetzwerkanalyse
FamilieMachine learningMachine learning
Entstehungsjahr1927 (epidemic roots); network formalization 1990s–2000s1974
UrheberKermack, W. O. & McKendrick, A. G.Breiger, R. L.
TypSimulation / analytical modelBipartite graph analysis
Wegweisende QuelleKermack, W. O. & McKendrick, A. G. (1927). A contribution to the mathematical theory of epidemics. Proceedings of the Royal Society of London A, 115(772), 700–721. DOI ↗Breiger, R. L. (1974). The duality of persons and groups. Social Forces, 53(2), 181–190. DOI ↗
Aliasnamendiffusion on networks, information diffusion, contagion spreading model, network propagation modelbipartite network analysis, affiliation network analysis, two-mode SNA, dual-projection network analysis
Verwandt55
ZusammenfassungNetwork diffusion analysis models how information, diseases, behaviors, or innovations spread across a graph of nodes and edges. Drawing on classical epidemic theory (SI, SIR, SIS) and modern network science, it tracks which nodes become infected, how quickly, and whether the spread reaches a global cascade or dies out locally.Two-mode network analysis examines networks built from two distinct types of nodes — such as actors and events, authors and papers, or companies and board members — connected only across types. By analysing this bipartite structure directly or projecting it onto one-mode networks, researchers uncover affiliation patterns, shared memberships, and structural duality that are invisible in standard one-mode social network analysis.
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ScholarGateMethoden vergleichen: Network Diffusion Analysis · Two-mode Network Analysis. Abgerufen am 2026-06-15 von https://scholargate.app/de/compare