Chen et al. [13] proposed two faster greedy algorithms called MixedGreedy and DegreeDiscount for the IC model where the propagation probabilities on all edges are the same; MixedGreedy removes the edges that have no contribution for propagating influence, which can reduce the computation on the unnecessary edges; DegreeDiscount assumes that the influence spread increases with node degree.
LP, on the other hand, can propagate influence from other parts of the network through sample nodes, meaning that even SNPs exhibited by mostly the same individuals can get different scores.
However, the metric performs worse on the artificial data shown in Figure 4(b) where it fails to distinguish the data corresponding to different values of p (the only noticeable difference happens when half of the content is propagated by influence of friends).
A Monte Carlo procedure is described as a tool to propagate the influence of the input uncertainty of the fluid parameters on the ORC model output, and provides the 95%-confidence interval of the net power output with respect to the fluid property uncertainties.
It thereby propagates its influence in the molecular regulatory networks of this neuron.
In our current results, we expanded the human PPI networks by including the interactions for PRDM9 and thus we managed to propagate the influence of PRDM9 to other proteins.
Therefore, RWR propagates the influence from the seed nodes to the remaining nodes in the PPI network and can be used to measure the proximity of other nodes to the seed nodes.
In order to propagate the influence of PRDM9 to other genes, its predicted interaction partners are collected from STRING [ 49] database, including SPO11, SPATA17, RNF212, H2AFX, H3F3A and H3F3B.
Here, we take them as "seeds" for the RWR algorithm in PPI networks and propagate their influence to other genes in the PPI networks, aiming to identify more genes related with meiotic recombination hotspots.
Influence maximization is the task of finding a set of seed nodes in a social network such that the influence propagated from the seed nodes can reach the largest number of people in the network.
