cascades3D: Spread of cascades of retweet

In simoncarrignon/twitter-spread: Model of Twitter Retweet Cascade Spread

Description

cascades3D Generate cascades of retweets from a initial population of rumors given

Usage

cascades3D(N = 200, R = 10, betadistrib = rep(1, 200), utility = seq(0,
  1, length.out = 10), time = 2, captl = -1, IC = 50, summary = T,
  Nmax = NULL, lambda_c = 0, lambda_r = 0, dtime = 0, stime = -1,
  memory = T, log = T)

Arguments

N	total number of agents
R	initial number of rumors
betadistrib	vector of size N with the value of beta for each agents
utility	vector of size R, with the value of intrinsic utility for each rumors
time	number of time that the agents will check their timeline (length of the simulation)
captl	maximum messages that agents can acess to
IC	initial number of cascades
summary	if TRUE, return a data.frame with summary statistics about the cascade, else return a list of lists with a list of all cascades, a list of all rumors, a list of the results, and much more
Nmax	if NULL or Nmax == 1, N agents will have the opportunity to retweet at each time step, ifNmax > 1, Nmax randomly sampled agent will have the possibility to retweet, if Nmax < 1, Nmax represnet the proportion of agents that will be able to retweet
lambda_c	rate of apparition of new cascades
lambda_r	rate of apparition of new rumors
dtime	maximum number of timestep during which a cascades can survives. if =< 0 cascades are kept during all the simulation.
stime	the oldest tweet (in timestep) that an agent can access from an active cascade (if stime = 1 the agents can only access retweet or tweet done during the previous time step. If -1 there is no limit.
log	print the time step and some information if TRUE, nothing if FALSE

Details

main model of the package

Value

depends on the value of the BOOLEAN summary

Examples

simplerun=cascades3D()
par(mfrow=c(1,2))
plotCCFD(simplerun$size,main="Cascade Size")
plotCCFD(simplerun$depth,main="Cascade Depth")

simoncarrignon/twitter-spread documentation built on May 23, 2019, 5:04 a.m.