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However, the initial INS problem in [8] – every edge has the same propagation probability – is too simple to correctly reflect the characteristics of the information diffusion process in real-world situations.
For the INS problem described in Section 'Influential neighbor selection problem,' we basically use a greedy strategy to select the influential neighbors.
We begin with the definition of the Independent Cascade (IC) model [2] and then introduce the Influential Neighbor Selection (INS) problem, which will be used in the rest of the paper.
In Section 'Influential neighbor selection problem', we formally define the INS problem and notations.
For example, we will extend the concept of the INS problem by expanding the set of the initially activated nodes with the distance from the information spreader.
Furthermore, we note that these schemes seem to be the most reasonable and promising for the INS problem since we cannot calculate network centrality metrics, such as closeness and betweenness [21], which require the knowledge of the entire network topology.
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