Skip to Main content Skip to Navigation
Conference papers

Maximizing positive opinion influence using an evidential approach

Abstract : 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.
Complete list of metadatas

Cited literature [10 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01380348
Contributor : Arnaud Martin <>
Submitted on : Wednesday, October 12, 2016 - 8:26:01 PM
Last modification on : Friday, March 6, 2020 - 4:10:03 PM
Document(s) archivé(s) le : Saturday, February 4, 2017 - 8:53:34 PM

Files

flinsHal.pdf
Files produced by the author(s)

Identifiers

Citation

Siwar Jendoubi, Arnaud Martin, Ludovic Liétard, Hend Ben Hadji, Boutheina Ben Yaghlane. Maximizing positive opinion influence using an evidential approach. FLINS, Aug 2016, Roubaix, France. pp.168 - 174, ⟨10.1142/9789813146976_0029⟩. ⟨hal-01380348⟩

Share

Metrics

Record views

846

Files downloads

470