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Fig. 4 | Applied Network Science

Fig. 4

From: Understanding the limitations of network online learning

Fig. 4

Cumulative reward results on a Twitter social network constructed from mutual interactions. The budget in the experiment was 50k queries. Twitter data is typically collected via repeated API access, so represents a natural use case for NOL-HTR. Inset: Magnification showing that NOL-HTR and the high degree baseline methods outperform NOL in the first few thousand probes of the experiment

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