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A likelihood based framework for assessing network evolution models tested on real network data
Published 27 Mar 2013 in cs.SI and physics.soc-ph | (1303.6794v1)
Abstract: This paper presents a statistically sound method for using likelihood to assess potential models of network evolution. The method is tested on data from five real networks. Data from the internet autonomous system network, from two photo sharing sites and from a co-authorship network are tested using this framework.
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