Predict Information Cascade by Self-Exciting Point Process

An implementation of self-exciting point process model for information cascades, which occurs when many people engage in the same acts after observing the actions of others (e.g. post resharings on Facebook or Twitter). It provides functions to estimate the infectiousness of an information cascade and predict its popularity given the observed history. See for more information and datasets.


Reference manual

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1.0 by Qingyuan Zhao, 6 years ago

Browse source code at

Authors: Hera He , Murat Erdogdu , Qingyuan Zhao

Documentation:   PDF Manual  

GPL-3 license

See at CRAN