Holistic Influence Maximization for Targeted Advertisements in Spatial Social Networks
Paper
Li, Jianxin, Cai, Taotao, Mian, Ajmal, Li, Rong-Hua, Sellis, Timos and Yu, Jeffrey Xu. 2018. "Holistic Influence Maximization for Targeted Advertisements in Spatial Social Networks
." 2018 IEEE 34th International Conference on Data Engineering (ICDE). Paris, France 16 - 19 Apr 2018 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ICDE.2018.00145
| Paper/Presentation Title | Holistic Influence Maximization for Targeted Advertisements in Spatial Social Networks |
|---|---|
| Presentation Type | Paper |
| Authors | Li, Jianxin, Cai, Taotao, Mian, Ajmal, Li, Rong-Hua, Sellis, Timos and Yu, Jeffrey Xu |
| Journal or Proceedings Title | Proceedings of 2018 IEEE 34th International Conference on Data Engineering (ICDE) |
| Journal Citation | pp. 1340-1343 |
| Number of Pages | 4 |
| Year | 2018 |
| Publisher | IEEE (Institute of Electrical and Electronics Engineers) |
| Place of Publication | United States |
| ISBN | 9781538655207 |
| Digital Object Identifier (DOI) | https://doi.org/10.1109/ICDE.2018.00145 |
| Web Address (URL) of Paper | https://ieeexplore.ieee.org/document/8509366 |
| Web Address (URL) of Conference Proceedings | https://ieeexplore.ieee.org/xpl/conhome/8476188/proceeding |
| Conference/Event | 2018 IEEE 34th International Conference on Data Engineering (ICDE) |
| Event Details | 2018 IEEE 34th International Conference on Data Engineering (ICDE) Parent International Conference on Data Engineering Delivery In person Event Date 16 to end of 19 Apr 2018 Event Location Paris, France |
| 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 | Spatial Social Networks |
| Related Output | |
| Is supplemented by | https://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP160102114 |
| Is supplemented by | https://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP190102443 |
| Is supplemented by | https://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/LP180100750 |
| Contains Sensitive Content | Does not contain sensitive content |
| ANZSRC Field of Research 2020 | 460501. Data engineering and data science |
| Public Notes | Files associated with this item cannot be displayed due to copyright restrictions, but may be accessed online. Please see the link in the URL field. |
| Byline Affiliations | University of Western Australia |
| Beijing Institute of Technology, China | |
| Swinburne University of Technology | |
| Chinese University of Hong Kong, China |
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