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-any)seismic_1.1.zip(r-4.6-any)seismic_1.1.zip(r-4.5-any)
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✨
DESCRIPTION
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 231 downloads 1 mentions 2 exports 0 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK86
source / vignettesOK224
linux-releaseOK84
macos-releaseOK137
macos-oldrelOK179
windows-develOK57
windows-releaseOK50
windows-oldrelOK54
wasm-releaseOK64

Exports:get.infectiousnesspred.cascade

Dependencies: