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Figure 17 | EPJ Data Science

Figure 17

From: A network theory of inter-firm labor flows

Figure 17

Distributions \(\operatorname{Pr}(k_{i})\) (black ‘’) and \(\operatorname{Pr}(k_{i}^{(s)})\) (red ‘□’) for \(M=10^{3}\) Monte Carlo realizations. The distributions are similar but \(\operatorname{Pr}(k_{i}^{(s)})\) systematically deviates to become more skewed as \(k_{i},k_{i}^{(s)}\) increase, signaling that fixing the overall flow through a node and allowing the degree to emerge as a consequence of this leads to larger degree than in observation

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