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Figure 4 | EPJ Data Science

Figure 4

From: Temporal patterns of reciprocity in communication networks

Figure 4

Memory drives temporal reciprocity in activity-driven network model. Fraction of reciprocations \(p(E_{rec})\) (top), and fraction of links having at least one reciprocation, \(p(l_{rec})\) (bottom), for several empirical communication channels (Data), as well as in synthetic temporal networks fitted by the ADAM and ADA models. The ADAM model, implementing both memory and attractiveness of nodes, reproduces empirical levels of temporal reciprocity in all datasets, outperforming the memoryless ADA model. We filter out links with less than \(n_{events}=3\) events. For calls, ADA does not produce any links with more than 3 events on them, so all edges are filtered out and the ADA symbol disappears. Qualitatively similar results are obtained for a different choice of filter, \(n_{events}=5\) (see Additional file 1 Section S8)

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