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Predicting the Temporal Dynamics of Information Diffusion in Social Networks
[article]
2013
arXiv
pre-print
Online social networks play a major role in the spread of information at very large scale and it becomes essential to provide means to analyse this phenomenon. In this paper we address the issue of predicting the temporal dynamics of the information diffusion process. We develop a graph-based approach built on the assumption that the macroscopic dynamics of the spreading process are explained by the topology of the network and the interactions that occur through it, between pairs of users, on
arXiv:1302.5235v2
fatcat:5saoviqrxjendldd4gjejab6vu