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Fig. 1 | Applied Network Science

Fig. 1

From: Understanding the limitations of network online learning

Fig. 1

We present the conditions under which network online learning is feasible. In particular, there is a potential for learning a policy to reduce incompleteness of a network only if the network has heterogenous degree distribution and high modularity. The synthetic graphs in the figure are ER (Erdös-Rényi), BA (Barabási-Albert), BTER (Block Two-level Erdös-Rényi), and LFR (Lancichinetti-Fortunato- Radicchi)

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