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A framework for evaluating complex networks measurements
A good deal of current research in complex networks involves the
characterization and/or classification of the topological properties of given
structures, which has motivated several respective measurements. This letter
proposes a framework for evaluating the quality of complex network measurements
in terms of their effective resolution, degree of degeneracy and
discriminability. The potential of the suggested approach is illustrated with
respect to comparing the characterization of several model and real-world
networks by using concentric and symmetry measurements. The results indicate a
markedly superior performance for the latter type of mapping
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