Σύγκριση μεθόδων

	Ανάλυση Διάχυσης Δικτύου	Ανάλυση Δικτύων Δύο Τύπων (Two-mode Network Analysis)
Πεδίο	Ανάλυση Δικτύων	Ανάλυση Δικτύων
Οικογένεια	Machine learning	Machine learning
Έτος προέλευσης	1927 (epidemic roots); network formalization 1990s–2000s	1974
Δημιουργός	Kermack, W. O. & McKendrick, A. G.	Breiger, R. L.
Τύπος	Simulation / analytical model	Bipartite graph analysis
Θεμελιώδης πηγή	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.
Εναλλακτικές ονομασίες	diffusion on networks, information diffusion, contagion spreading model, network propagation model	bipartite network analysis, affiliation network analysis, two-mode SNA, dual-projection network analysis
Συναφείς	5	5
Σύνοψη	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.