Package: seismic
Type: Package
Title: Predict Information Cascade by Self-Exciting Point Process
Version: 1.1
Date: 2022-05-20
Author: Hera He, Murat Erdogdu, Qingyuan Zhao
Maintainer: Qingyuan Zhao <qingyzhao@gmail.com>
Description: 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.
URL: http://snap.stanford.edu/seismic/
License: GPL-3
NeedsCompilation: no
RoxygenNote: 7.1.2
Packaged: 2022-05-20 20:56:45 UTC; qyzhao
Repository: CRAN
Date/Publication: 2022-05-20 21:30:02 UTC
Built: R 4.6.0; ; 2026-04-25 22:14:43 UTC; unix
