seismic
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 http://snap.stanford.edu/seismic/ for more information and datasets.
- Version1.1
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release05/20/2022
Team
Qingyuan Zhao
Hera He
Murat Erdogdu
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