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Location-aware influence maximization over dynamic social streams

Influence maximization (IM), which selects a set of k seed users (a.k.a., a seed set) to maximize the influence spread over a social network, is a fundamental problem in a wide range of applications. However, most existing IM algorithms are static and location-unaware. They fail to provide high-qual...

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Main Authors: WANG, Yanhao, LI, Yuchen, FAN, Ju, TAN, Kianlee
格式: text
語言:English
出版: Institutional Knowledge at Singapore Management University 2018
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在線閱讀:https://ink.library.smu.edu.sg/sis_research/4155
https://ink.library.smu.edu.sg/context/sis_research/article/5159/viewcontent/Location_aware_Influence_2018_afv.pdf
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