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- W2908409573 abstract "When promotion, for advertisers, a key issue is how to choose a small subset of influential users which is called seed set in social network that can maximize the spread of influence. This problem is considered as “influence maximization”. In order to find out the seed set quickly and effectively at the lowest cost and make the influence maximization, a new concept named Moment of Influence (MoI) to estimate node influence and a hybrid heuristic algorithm called Random Node Recommend (RNR) to select seeds were proposed. We use SIR model to evaluate the performance of RNR in two real social networks. The experimental results show that MoI can better distinguish the spreading ability of nodes and RNR the proposed algorithm performance effectively." @default.
- W2908409573 created "2019-01-11" @default.
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- W2908409573 date "2018-10-01" @default.
- W2908409573 modified "2023-09-26" @default.
- W2908409573 title "Random Node Recommend Algorithm for Influence Maximization in Social Network" @default.
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- W2908409573 doi "https://doi.org/10.1109/itme.2018.00205" @default.
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