Jason Vallet (LaBRI, Univ. Bordeaux, France) |
Hélène Kirchner (Inria, Bordeaux, France) |
Bruno Pinaud (LaBRI, Univ. Bordeaux, France) |
Guy Melançon (LaBRI, Univ. Bordeaux, France) |
Numerous propagation models describing social influence in social networks can be found in the literature. This makes the choice of an appropriate model in a given situation difficult. 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 yet independent from them. We propose to use graph rewriting to formally describe propagation mechanisms as local transformation rules applied according to a strategy. This approach makes sense when it is supported by a visual analytics framework dedicated to graph rewriting. The paper first presents our methodology to describe some propagation models as a graph rewriting problem. Then, we illustrate how our visual analytics framework allows to interactively manipulate models, and underline their differences based on measures computed on simulation traces. |
ArXived at: https://dx.doi.org/10.4204/EPTCS.181.5 | bibtex | |
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