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Statistical validation of high-dimensional models of growing networks

Université de Fribourg

  • Medo, Matúš Physics Department, University of Fribourg, Switzerland
    03.03.2014
Published in:
  • Physical Review E, 2014, vol. 89, no. 3, p. 032801
English The abundance of models of complex networks and the current insufficient validation standards make it difficult to judge which models are strongly supported by data and which are not. We focus here on likelihood maximization methods for models of growing networks with many parameters and compare their performance on artificial and real datasets. While high dimensionality of the parameter space... Show more…
Language
  • English
Identifiers
Classification
Physics
Faculty
Faculté des sciences
Department
Physique
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Persistent URL
https://folia.unifr.ch/global/documents/303713
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