Holistic influence maximization for targeted advertisements in spatial social networks

Jianxin Li; Taotao Cai; Ajmal Mian; Rong Hua Li; Timos Sellis; Jeffrey Xu Yu

doi:10.1109/ICDE.2018.00145

Holistic influence maximization for targeted advertisements in spatial social networks

Jianxin Li
, Taotao Cai
, Ajmal Mian
, Rong Hua Li
, Timos Sellis
, Jeffrey Xu Yu

计算机学院

University of Western Australia
Swinburne University of Technology
Chinese University of Hong Kong

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

18 引用（Scopus）

摘要

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.

源语言	英语
主期刊名	Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018
出版商	Institute of Electrical and Electronics Engineers Inc.
页	1344-1347
页数	4
ISBN（电子版）	9781538655207
DOI	https://doi.org/10.1109/ICDE.2018.00145
出版状态	已出版 - 24 10月 2018
活动	34th IEEE International Conference on Data Engineering, ICDE 2018 - Paris, 法国期限: 16 4月 2018 → 19 4月 2018

出版系列

姓名	Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018

会议

会议	34th IEEE International Conference on Data Engineering, ICDE 2018
国家/地区	法国
市	Paris
时期	16/04/18 → 19/04/18

访问文件

10.1109/ICDE.2018.00145

其它文件与链接

链接到 Scopus 的出版物

引用此

Li, J., Cai, T., Mian, A., Li, R. H., Sellis, T., & Yu, J. X. (2018). Holistic influence maximization for targeted advertisements in spatial social networks. 在 Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018 (页码 1344-1347). 文章 8509366 (Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDE.2018.00145

Li, Jianxin ; Cai, Taotao ; Mian, Ajmal 等. / Holistic influence maximization for targeted advertisements in spatial social networks. Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 页码 1344-1347 (Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018).

@inproceedings{e2bab3d552594f4482d9f69a8932bb91,

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.",

keywords = "Influence Maximization, Spatial Social Networks, Targeted Advertisements",

author = "Jianxin Li and Taotao Cai and Ajmal Mian and Li, \{Rong Hua\} and Timos Sellis and Yu, \{Jeffrey Xu\}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 34th IEEE International Conference on Data Engineering, ICDE 2018 ; Conference date: 16-04-2018 Through 19-04-2018",

year = "2018",

month = oct,

day = "24",

doi = "10.1109/ICDE.2018.00145",

language = "English",

series = "Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1344--1347",

booktitle = "Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018",

address = "United States",

}

Li, J, Cai, T, Mian, A, Li, RH, Sellis, T & Yu, JX 2018, Holistic influence maximization for targeted advertisements in spatial social networks. 在 Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018., 8509366, Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018, Institute of Electrical and Electronics Engineers Inc., 页码 1344-1347, 34th IEEE International Conference on Data Engineering, ICDE 2018, Paris, 法国, 16/04/18. https://doi.org/10.1109/ICDE.2018.00145

Holistic influence maximization for targeted advertisements in spatial social networks. / Li, Jianxin; Cai, Taotao; Mian, Ajmal 等.
Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 页码 1344-1347 8509366 (Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Holistic influence maximization for targeted advertisements in spatial social networks

AU - Li, Jianxin

AU - Cai, Taotao

AU - Mian, Ajmal

AU - Li, Rong Hua

AU - Sellis, Timos

AU - Yu, Jeffrey Xu

PY - 2018/10/24

Y1 - 2018/10/24

N2 - 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.

AB - 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.

KW - Influence Maximization

KW - Spatial Social Networks

KW - Targeted Advertisements

UR - https://www.scopus.com/pages/publications/85057130711

U2 - 10.1109/ICDE.2018.00145

DO - 10.1109/ICDE.2018.00145

M3 - Conference contribution

AN - SCOPUS:85057130711

T3 - Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018

SP - 1344

EP - 1347

BT - Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 34th IEEE International Conference on Data Engineering, ICDE 2018

Y2 - 16 April 2018 through 19 April 2018

ER -

Li J, Cai T, Mian A, Li RH, Sellis T, Yu JX. Holistic influence maximization for targeted advertisements in spatial social networks. 在 Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 页码 1344-1347. 8509366. (Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018). doi: 10.1109/ICDE.2018.00145

Holistic influence maximization for targeted advertisements in spatial social networks

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