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Higher order clustering coefficients C(x) are introduced for random networks. The coefficients express probabilities that the shortest distance between any two nearest neighbours of a certain vertex i equals x, when one neglects all paths crossing the node i. Using C(x) we found that in the Barabasi-Albert (BA) model the average shortest path length in a node's neighbourhood is smaller than the equivalent...
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