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• W2013746780 abstract "Information flows in a network where individuals influence each other. In this paper, we study the influence maximization problem of finding a small subset of nodes in a social network that could maximize the spread of influence. We propose a novel information diffusion model CTMC-ICM, which introduces the theory of Continuous-Time Markov Chain (CTMC) into the Independent Cascade Model (ICM). Furthermore, we propose a new ranking metric named SpreadRank generalized by the new information propagation model CTMC-ICM. We experimentally demonstrate the new ranking method that can, in general, extract nontrivial nodes as an influential node set that maximizes the spread of information in a social network and is more efficient than a distance-based centrality." @default.
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• W2013746780 date "2014-09-01" @default.
• W2013746780 modified "2023-10-05" @default.
• W2013746780 title "Maximizing the spread of influence ranking in social networks" @default.
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• W2013746780 doi "https://doi.org/10.1016/j.ins.2014.03.070" @default.
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