Maximizing positive opinion influence using an evidential approach
Overview & Synopsis
In this paper, we propose a new data based model for influence maximization in online social networks. We use the theory of belief functions to overcome the data imperfection problem. Besides, the proposed model searches to detect influencer users that adopt a positive opinion about the product, the idea, etc, to be propagated. Moreover, we present some experiments to show the performance of our model.
Indexed from repository: HAL Open Science
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hal.science)
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Document Information
| Document Title | Maximizing positive opinion influence using an evidential approach |
|---|---|
| Author / Organization | Siwar Jendoubi, Arnaud Martin, Ludovic Liétard, Hend Ben Ben Hadji, Boutheina Ben Ben Yaghlane |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2016 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-155664 |
| Original Source Link | Visit Source Page on hal.science » |