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EPJ Data Science
Figure 1 | EPJ Data Science

Figure 1

From: Competition-driven modeling of temporal networks

Figure 1

The CSS distribution of some real networks. \(C(t)\) is the CSS at time t. The FHV CSS (left) can be estimated as a Poisson distribution when \(t \leq 480\) and a normal distribution in the rest. The BPI CSS (right) can be estimated as a linear-transformed power-law distribution when \(t \leq 800\)

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