Bayesian inference of network structure from unreliable data

Abstract Most empirical studies of complex networks do not return direct, error-free measurements of network structure. Instead, they typically rely on indirect measurements that are often error prone and unreliable. A fundamental problem in empirical network science is how to make the best possible...

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Veröffentlicht in:	Journal of complex networks 2020-12, Vol.8 (6)
Hauptverfasser:	Young, Jean-Gabriel, Cantwell, George T, Newman, M E J
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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