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Fig. 9 | Applied Network Science

Fig. 9

From: Structural inequalities emerging from a large wire transfers network

Fig. 9

Clustering coefficient as a function of the degree for the wire transfer network (red squares) and its randomised version (green crosses), on a log-log scale with (top) and without (bottom) logarithmic binning. We plot Ck, that is the average clustering coefficient of all the k-degree nodes. Intesa Sanpaolo’s network shows a stronger dependency of the clustering coefficient on the degree of the nodes, as a result of a process driven by the reasons of the payments: natural persons (low degree, see Fig.6) pays each other in local communities and families, therefore many triangles are likely to be closed, while big companies (high degree) spreads their payments over different and distant receivers, without closing triangles so often

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