Package: seismic 1.1

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.

Authors:Hera He, Murat Erdogdu, Qingyuan Zhao

seismic_1.1.tar.gz
seismic_1.1.zip(r-4.7)seismic_1.1.zip(r-4.6)seismic_1.1.zip(r-4.5)
seismic_1.1.tgz(r-4.6-any)seismic_1.1.tgz(r-4.5-any)
seismic_1.1.tar.gz(r-4.7-any)seismic_1.1.tar.gz(r-4.6-any)
seismic_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
seismic/json (API)

# Install 'seismic' in R:
install.packages('seismic', repos = c('https://qingyuanzhao.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/qingyuanzhao/seismic/issues

Datasets:
  • tweet - An example information cascade

On CRAN:

Conda:

2.00 score 6 scripts 159 downloads 2 exports 0 dependencies

Last updated from:1e587e72e5. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK83
source / vignettesOK165
linux-release-x86_64OK84
macos-release-arm64OK144
macos-oldrel-arm64OK174
windows-develOK59
windows-releaseOK59
windows-oldrelOK67
wasm-releaseOK82

Exports:get.infectiousnesspred.cascade

Dependencies: