MakeBlockNetworkChange: Build a synthetic block-structured temporal data with breaks

In NetworkChange: Bayesian Package for Network Changepoint Analysis

Build a synthetic block-structured temporal data with breaks

Description

MakeBlockNetworkChange generates a block-structured temporal data with breaks.

Usage

MakeBlockNetworkChange(
  n = 10,
  break.point = 0.5,
  base.prob = 0.05,
  block.prob = 0.5,
  shape = 1,
  T = 40,
  break.point1 = 0.25,
  break.point2 = 0.75,
  type = "merge"
)

Arguments

n	The number of nodes within a block. The total number of nodes is n*block.number.
break.point	The point of break. 0 indicates the beginning, 0.5 indicates the middle, and 1 indicates the end.
base.prob	The probability of link among non-block members.
block.prob	The probability of link among within-block members.
shape	The speed of breaks. The larger shape is, the faster the transition is. shape > 0 and shape < 8.
T	The length of time.
break.point1	The point of the first break in "merge-split" or "split-merge". Any number between 0 and 0.5 can be chosen. For example, 0 indicates #' the beginning, 0.25 indicates the 1/4th point, and 0.5 indicates the half point.
break.point2	The point of the second breakin "merge-split" or "split-merge". Any number between 0.5 and 1 can be chosen. For example, 0.5 indicates the beginning, 0.75 indicates the 3/4th point, and 1 indicates the end point.
type	The type of network changes. Options are "constant", "merge", "split", "merge-split", "split-merge." If "constant" is chosen, the number of breaks is zero. If "merge" or "split" is chosen, the number of breaks is one. If either "merge-split" or "split-merge" is chosen, the number of breaks is two.

Value

output An output of MakeBlockNetworkChange contains a symmetric block-structured temporal network data set with breaks.

NetworkChange documentation built on March 18, 2022, 7:52 p.m.