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:	1.1
Published:	2022-05-20
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

Documentation:

Reference manual:

seismic.pdf

Downloads:

Package source:	seismic_1.1.tar.gz
Windows binaries:	r-prerel: seismic_1.1.zip, r-release: seismic_1.1.zip, r-oldrel: seismic_1.1.zip
macOS binaries:	r-prerel (arm64): seismic_1.1.tgz, r-release (arm64): seismic_1.1.tgz, r-oldrel (arm64): seismic_1.1.tgz, r-prerel (x86_64): seismic_1.1.tgz, r-release (x86_64): seismic_1.1.tgz
Old sources:	seismic archive

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