Comparer des méthodes

	Analyse de la diffusion en réseau	Analyse de réseaux bipartis
Domaine	Analyse de réseaux	Analyse de réseaux
Famille	Machine learning	Machine learning
Année d'origine	1927 (epidemic roots); network formalization 1990s–2000s	1974
Auteur d'origine	Kermack, W. O. & McKendrick, A. G.	Breiger, R. L.
Type	Simulation / analytical model	Bipartite graph analysis
Source fondatrice	Kermack, 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.	Breiger, R. L. (1974). The duality of persons and groups. Social Forces, 53(2), 181–190.
Alias	diffusion on networks, information diffusion, contagion spreading model, network propagation model	bipartite network analysis, affiliation network analysis, two-mode SNA, dual-projection network analysis
Apparentées	5	5
Résumé	Network 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.