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-4.5)seismic_1.1.zip(r-4.4)seismic_1.1.zip(r-4.3)
seismic_1.1.tgz(r-4.5-any)seismic_1.1.tgz(r-4.4-any)seismic_1.1.tgz(r-4.3-any)
seismic_1.1.tar.gz(r-4.5-noble)seismic_1.1.tar.gz(r-4.4-noble)
seismic_1.1.tgz(r-4.4-emscripten)seismic_1.1.tgz(r-4.3-emscripten)
seismic.pdf |seismic.html
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-Forge:

2.00 score 6 scripts 214 downloads 1 mentions 2 exports 0 dependencies

Last updated 3 years agofrom:1e587e72e5. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 24 2025
R-4.5-winOKFeb 24 2025
R-4.5-macOKFeb 24 2025
R-4.5-linuxOKFeb 24 2025
R-4.4-winOKFeb 24 2025
R-4.4-macOKFeb 24 2025
R-4.3-winOKFeb 24 2025
R-4.3-macOKFeb 24 2025

Exports:get.infectiousnesspred.cascade

Dependencies: