Package: seismic
Type: Package
Title: Predict Information Cascade by Self-Exciting Point Process
Version: 1.1
Date: 2022-05-20
Author: Hera He, Murat Erdogdu, Qingyuan Zhao
Maintainer: Qingyuan Zhao <qingyzhao@gmail.com>
Description: 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.
URL: http://snap.stanford.edu/seismic/
License: GPL-3
NeedsCompilation: no
RoxygenNote: 7.1.2
Repository: https://qingyuanzhao.r-universe.dev
Date/Publication: 2022-05-20 10:24:09 UTC
RemoteUrl: https://github.com/qingyuanzhao/seismic
RemoteRef: HEAD
RemoteSha: 1e587e72e502118c62f8ca33adfa1242722a9dbc
Packaged: 2026-06-06 08:28:50 UTC; root