Location-aware influence maximization over dynamic social streams

• Main Authors: WANG, Yanhao, LI, Yuchen, FAN, Ju, TAN, Kianlee
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Data stream; Influence maximization; Region query; Social network; Spatial index; Submodular optimization; Databases and Information Systems
• Online Access: 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
• Institution: Singapore Management University

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...