Matching-centrality decomposition and the forecasting of new links in networks
Abstract
Networks play a prominent role in the study of complex systems of interacting entities in biology, sociology, and economics. Despite this diversity, we demonstrate here that a statistical model decomposing networks into matching and centrality components provides a comprehensive and unifying quantification of their architecture. First we show, for a diverse set of networks, that this decomposition provides an extremely tight fit to observed...
Paper Details
Title
Matching-centrality decomposition and the forecasting of new links in networks
Published Date
Oct 17, 2013
Journal
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Notes
History