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Relevance of SIR Model for Real-world Spreading Phenomena: Experiments on a Large-scale P2P System

Daniel Bernardes 1 Matthieu Latapy 1 Fabien Tarissan 1
1 ComplexNetworks
LIP6 - Laboratoire d'Informatique de Paris 6
Abstract : Understanding the spread of information on complex networks is a key issue from a theoretical and applied perspective. Despite the effort in developing theoretical models for this phenomenon, gauging them with large-scale real-world data remains an important challenge due to the scarcity of open, extensive and detailed data. In this paper, we explain how traces of peer-to-peer file sharing may be used to this goal. We also perform simulations to assess the relevance of the standard SIR model to mimic key properties of spreading cascade. We examine the impact of the network topology on observed properties and finally turn to the evaluation of two heterogeneous versions of the SIR model. We conclude that all the models tested failed to reproduce key properties of such cascades: typically real spreading cascades are relatively " elongated " compared to simulated ones. We have also observed some interesting similarities common to all SIR models tested.
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Submitted on : Tuesday, October 20, 2015 - 1:59:19 PM
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Daniel Bernardes, Matthieu Latapy, Fabien Tarissan. Relevance of SIR Model for Real-world Spreading Phenomena: Experiments on a Large-scale P2P System. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Aug 2012, Istanbul, Turkey. pp.327-334, ⟨10.1109/ASONAM.2012.62⟩. ⟨hal-01217960⟩



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