Propagation d’événements dans un graphe économique

Jocelyn Bernard 1 Julien Goncalves Hamamache Kheddouci 2
1 GOAL - Graphes, AlgOrithmes et AppLications
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
2 GrAMA - Graphes, Algorithmes et Multi-Agents
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : The diffusion models of infections in social networks are intensively studied these last years. The existing studies concern in particular disease and rumor diffusions in social networks or financial risk in banking networks. We propose in this paper to study the diffusion problem of events within social and economic networks. In particular, we define a new problem of diffusion called the Influence Classification Problem. The objective is to find the set of nodes which are impacted by a given network. We also propose two diffusion models based on a computed threshold according to the graph and event attributes. We test our models ontwo real and known events : the hurricane Katrina and the fusion of Bayer and Monsanto
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Submitted on : Thursday, April 11, 2019 - 2:36:51 PM
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Jocelyn Bernard, Julien Goncalves, Hamamache Kheddouci. Propagation d’événements dans un graphe économique. Extraction et Gestion des connaissances (EGC), Jan 2019, Metz, France. pp.315-320. ⟨hal-02096635⟩

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