Review paper
Estimation of Global Network Statistics from Incomplete Data
Abstract
Complex networks underlie an enormous variety of social, biological, physical, and virtual systems. A profound complication for the science of complex networks is that in most cases, observing all nodes and all network interactions is impossible. Previous work addressing the impacts of partial network data is surprisingly limited, focuses primarily on missing nodes, and suggests that network statistics derived from subsampled data are not...
Paper Details
Title
Estimation of Global Network Statistics from Incomplete Data
Published Date
Oct 22, 2014
Journal
Volume
9
Issue
10
Pages
e108471 - e108471
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