Tau comparison. (a) For a multiplex, setting each layer’s Tau to a different value should alter the weight of the seed nodes within those layers, causing RWR to be biased towards exploring those layers with higher Tau values. (b) Comparing the original RandomWalkRestartMH functionality for updating seed vectors with Tau to the updated version illustrates that both versions work properly with respect to equal weighting. When given a Tau to weigh layer 1 with 1.9 and layer 2 with 0.1, the original implementation weighs seed A with 1.9 and seed B with 0.1 across layers. Conversely, the updated implementation weighs the layers with Tau accordingly. (c) Given random walks with seeds A and B, the RWR scores of nodes C and D do not change as Tau for layer 2 is decreased to 0 with respect to the original implementation. In the updated implementation, as Tau for layer 2 decreases, the RWR scores of C and D decrease accordingly.
This PDF is available to Subscribers Only
View Article Abstract & Purchase OptionsFor full access to this pdf, sign in to an existing account, or purchase an annual subscription.