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 language | English |
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Title of host publication | Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018 |
Place of Publication | USA |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 1344-1347 |
Number of pages | 4 |
ISBN (Electronic) | 9781538655207 |
DOIs | |
Publication status | Published - 24 Oct 2018 |
Event | 34th IEEE International Conference on Data Engineering, ICDE 2018 - Paris, France Duration: 16 Apr 2018 → 19 Apr 2018 |
Conference
Conference | 34th IEEE International Conference on Data Engineering, ICDE 2018 |
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Country/Territory | France |
City | Paris |
Period | 16/04/18 → 19/04/18 |