toa_diff function

Difference in Time of Adoption (TOA) between individuals

Creates $n * n$ matrix indicating the difference in times of adoption between each pair of nodes

toa_diff(obj, t0 = NULL, labels = NULL)

Arguments

• obj: Either an integer vector of size $n$ containing time of adoption of the innovation, or a diffnet object.
• t0: Integer scalar. Sets the lower bound of the time window (e.g. 1955).
• labels: Character vector of size $n$. Labels (ids) of the vertices.

Returns

An $n * n$ symmetric matrix indicating the difference in times of adoption between each pair of nodes.

Details

Each cell ij of the resulting matrix is calculated as c("$$", "$\n$", "$toa(j) - toa(i)$"), so that whenever its positive it means that the j-th individual (alter) adopted the innovation sooner.

Examples

# Generating a random vector of time
set.seed(123)
times <- sample(2000:2005, 10, TRUE)

# Computing the TOA differences
toa_diff(times)

Author(s)

George G. Vega Yon & Thomas W. Valente