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We break up the pairs of the edges and their weights, and randomly reassign the weights to the edges.
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The value of p at which kmax starts to increase varies with the network size N, where we cannot find any size scaling relation or universal feature.
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The extreme case of p=1.0 is out of our interest because every edge has exactly same EBC and there is no inhomogeneity in the case of the perfectly fully connected network, in which any structure of an LST is possible, from a starlike one to a homogeneous one.
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The extreme case of p=1.0 is out of our interest because every edge has exactly same EBC and there is no inhomogeneity in the case of the perfectly fully connected network, in which any structure of an LST is possible, from a starlike one to a homogeneous one.
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