the clustering coefficient to weighted networks. Unlike the unweighted clustering coefficient, the weighted clustering … clustering coefficient and connectivity arises from hard thresholding.We apply our methods to simulated data, a cancer microarray … coefficient is not inversely related to the connectivity. We provide a model that shows how an inverse relationship between …

degree k, we study how the frequency of cooperator fC changes as the clustering coefficient (CC), which signifies how the …

strength distribution, but the clustering coefficient of the network is sensitive to l. Particularly, the clustering … coefficient is especially high and almost independent of the network size when l=2. …

average distance of RAN decreases with time, while the average clustering coefficient increases with time, which indicates … clustering coefficient C(k) and the degree k indicates that there is no hierarchical organization in RAN. …

different degree exponents in the GBA model. In addition, for the degree dependence of the clustering coefficient, very …

statistical results for the network are reported. Clustering coefficient of weighted networks is introduced and empirically …

is proposed a formula for the clustering coefficient which is in good agreement with numerical simulations. The …

The clustering coefficient, path length and average vertex degree of two urban train line networks have been calculated …

and 3. The clustering coefficient is also calculated and is found to be about 10 times larger than that in the case of the …