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Quantifying Complexity in Networks: The von Neumann Entropy:
Our Price:    $30.00 US
Article #:    ITJ5307
Number of pages:    58-67 pages
Source:    International Journal of Agent Technologies and Systems, Vol. 1, Issue 4
Author(s):    Passerini, Filippo; Severini, Simone
Affiliation(s):    Perimeter Institute for Theoretical Physics, Canada; University of Waterloo, Canada
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Description
The authors introduce a novel entropic notion with the purpose of quantifying disorder/uncertainty in networks. This is based on the Laplacian and it is exactly the von Neumann entropy of certain quantum mechanical states. It is remarkable that the von Neumann entropy depends on spectral properties and it can be computed efficiently. The analytical results described here and the numerical computations lead us to conclude that the von Neumann entropy increases under edge addition, increases with the regularity properties of the network and with the number of its connected components. The notion opens the perspective of a wide interface between quantum information theory and the study of complex networks at the statistical level.

 
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