Holistic influence maximization for targeted advertisements in spatial social networks

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

9 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2018 IEEE 34th International Conference on Data Engineering (ICDE)
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1340-1343
Number of pages4
ISBN (Electronic)9781538655207
DOIs
Publication statusPublished - 2018
Externally publishedYes
Event34th IEEE International Conference on Data Engineering Workshops (ICDEW) - Paris, France
Duration: 16 Apr 201819 Apr 2018

Publication series

NameIEEE International Conference on Data Engineering
PublisherIEEE
ISSN (Print)1084-4627
ISSN (Electronic)2375-026X

Conference

Conference34th IEEE International Conference on Data Engineering Workshops (ICDEW)
CountryFrance
CityParis
Period16/04/1819/04/18

Cite this