@inproceedings{74e6fab4a8ba44c9a970a0bdc3364b47,
title = "Holistic influence maximization for targeted advertisements in spatial social networks",
abstract = "The problem of influence maximization has recently received significant attention. However, most studies focused on user influence via cyber interactions while ignoring their physical interactions which are important to gauge influence propagation. Additionally, targeted campaigns or advertisements have not received sufficient attention. To do this, we first devise a novel holistic influence diffusion model and then formulate a new holistic influence maximization query problem and develop three algorithms. Finally, we conduct extensive experiments to evaluate the effectiveness and efficiency of the proposed solutions.",
author = "Jianxin Li and Taotao Cai and Ajmal Mian and Rong-Hua Li and Timos Sellis and Yu, {Jeffrey Xu}",
year = "2018",
doi = "10.1109/ICDE.2018.00145",
language = "English",
series = "IEEE International Conference on Data Engineering",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
pages = "1340--1343",
booktitle = "2018 IEEE 34th International Conference on Data Engineering (ICDE)",
address = "United States",
note = "34th IEEE International Conference on Data Engineering Workshops (ICDEW) ; Conference date: 16-04-2018 Through 19-04-2018",
}