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.

Version: 1.0
Published: 2015-06-05
Author: Hera He, Murat Erdogdu, Qingyuan Zhao
Maintainer: Qingyuan Zhao <qingyzhao at gmail.com>
License: GPL-3
URL: http://snap.stanford.edu/seismic/
NeedsCompilation: no
CRAN checks: seismic results

Downloads:

Reference manual: seismic.pdf
Package source: seismic_1.0.tar.gz
Windows binaries: r-devel: seismic_1.0.zip, r-release: seismic_1.0.zip, r-oldrel: seismic_1.0.zip
OS X El Capitan binaries: r-release: seismic_1.0.tgz
OS X Mavericks binaries: r-oldrel: seismic_1.0.tgz

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