memory.pdf: Memory kernel

In seismic: Predict Information Cascade by Self-Exciting Point Process

Memory kernel

Description

Probability density function and complementary cumulative distribution function for the human reaction time.

Usage

memory.pdf(t, theta = 0.2314843, cutoff = 300, c = 0.0006265725)

memory.ccdf(t, theta = 0.2314843, cutoff = 300, c = 0.0006265725)

Arguments

t	time
theta	exponent of the power law
cutoff	the cutoff value where the density changes from constant to power law
c	the constant density when t is less than the cutoff

Details

default values are measured from a real Twitter data set.

Value

the density at t

memory.pdf returns the density function at t. memory.ccdf returns the ccdf (probabilty of greater than t).

Functions

• memory.ccdf: Complementary cumulative distribution function

seismic documentation built on May 21, 2022, 1:05 a.m.