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- W3210367867 abstract "In the classical influence maximization problem we aim to select a set of nodes, called seeds, to start an efficient information diffusion process. More precisely, the goal is to select seeds such that the expected number of nodes reached by the diffusion process is maximized. In this work we study a variant of this problem where an unknown (up to a probability distribution) set of nodes, referred to as co-existing seeds, joins in starting the diffusion process even if not selected. This setting allows to model that, in certain situations, some nodes are willing to act as voluntary seeds'' even if not chosen by the campaign organizer. This may for example be due to the positive nature of the information campaign (e.g., public health awareness programs, HIV prevention, financial aid programs), or due to external social driving effects (e.g., nodes are friends of selected seeds in real life or in other social media)." @default.
- W3210367867 created "2021-11-08" @default.
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- W3210367867 date "2021-10-26" @default.
- W3210367867 modified "2023-09-30" @default.
- W3210367867 title "Influence Maximization With Co-Existing Seeds" @default.
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- W3210367867 doi "https://doi.org/10.1145/3459637.3482439" @default.
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