Illustration of an information propagation network. (IMAGE)
Caption
Nodes A and B look the same when only considering their closest network connections (directed arrows in the green region). The two users A and B influence three users each (orange nodes), and they exhibit the same number of information propagation events (arrows’ thickness). Yet by analyzing the information propagation patterns to the six nodes influenced by A and B (including arrows in the orange region), the influence-susceptibility algorithm determines that the nodes influenced by B are more susceptible to influence than those influenced by A and, therefore, A is more influential.
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