Une approche de visualisation analytique pour comparer les modèles de propagation dans les réseaux sociaux

Abstract : Numerous propagation models in social networks describing social influence can be found in the literature, making it difficult to select an appropriate model in a given situation. Selecting the most relevant model requires the ability to objectively compare them. This comparison can only be made at the cost of describing models based on a common formalism and independant from them. We propose to use graph rewriting to formally describe the propagation mechanisms as local transformation rules applied according to a strategy. This approach makes complete sense when supported by a visual analytics framework dedicated to graph rewriting. The paper first presents several models and illustrates them through selected simulations. We then show how our visual analytics framework allows to interactively manipulate models, and underline their differences based on measures computed on simulation traces.
Document type :
Conference papers
Liste complète des métadonnées

Cited literature [30 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01112592
Contributor : Jason Vallet <>
Submitted on : Tuesday, February 3, 2015 - 11:43:52 AM
Last modification on : Thursday, February 7, 2019 - 5:54:47 PM
Document(s) archivé(s) le : Wednesday, May 27, 2015 - 4:01:00 PM

Identifiers

  • HAL Id : hal-01112592, version 1

Citation

Jason Vallet, Bruno Pinaud, Guy Melançon. Une approche de visualisation analytique pour comparer les modèles de propagation dans les réseaux sociaux. Extraction et Gestion de Connaissances (EGC 2015), Jan 2015, Luxembourg, Luxembourg. pp.365--376. ⟨hal-01112592⟩

Share

Metrics

Record views

418

Files downloads

587