Bipartite structure of all complex networks
Information Processing Letters
Dynamical Processes on Complex Networks
Dynamical Processes on Complex Networks
Social and Economic Networks
Ten weeks in the life of an eDonkey server
IPDPS '09 Proceedings of the 2009 IEEE International Symposium on Parallel&Distributed Processing
Networks, Crowds, and Markets: Reasoning About a Highly Connected World
Networks, Crowds, and Markets: Reasoning About a Highly Connected World
Epidemics and Rumours in Complex Networks
Epidemics and Rumours in Complex Networks
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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 real spreading cascades. We examine the impact of the network topology on observed properties and finally turn to the evaluation of two heterogeneous extensions of the SIR model. We conclude that all the models tested failed to reproduce key properties of such cascades: real spreading cascades are relatively "elongated" compared to simulated ones. We have also observed some interesting similarities common to all SIR models tested.