seismic (version 1.1)

pred.cascade: Predict the popularity of information cascade

Description

Predict the popularity of information cascade

Usage

pred.cascade(
  p.time,
  infectiousness,
  share.time,
  degree,
  n.star = 100,
  features.return = FALSE
)

Arguments

p.time

equally spaced vector of time to estimate the infectiousness, p.time[1]=0

infectiousness

a vector of estimated infectiousness, returned by get.infectiousness

share.time

observed resharing times, sorted, share.time[1] =0

degree

observed node degrees

n.star

the average node degree in the social network

features.return

if TRUE, returns a matrix of features to be used to further calibrate the prediction

Value

a vector of predicted populatiry at each time in p.time.

Examples

# NOT RUN {
data(tweet)
pred.time <- seq(0, 6 * 60 * 60, by = 60)
infectiousness <- get.infectiousness(tweet[, 1], tweet[, 2], pred.time)
pred <- pred.cascade(pred.time, infectiousness$infectiousness, tweet[, 1], tweet[, 2], n.star = 100)
plot(pred.time, pred)
# }