select_egoalter: Calculate the number of adoption changes between ego and alter.
Description
This function calculates the 16 possible configurations between ego and alter
over two time points in terms of their behavior and tie changes. From time
one to time two, given a binary state of behavior, ego and alter can be
related in 16 different ways. The function adopt_changes is just an
alias for select_egoalter.
$n*T$ matrix. Cumulative adoption matrix obtained from toa_mat.
period
Integer scalar. Optional to make the count for a particular period of time.
object
An object of class diffnet_adoptChanges.
...
Ignored.
Value
An object of class diffnet_adoptChanges and data.frame
with $n * (T-1)$ rows and $2 + 16 * 3$
columns. The column names are:
columns. The column names are:
Details
The 16 possibilities are summarized in this matrix:
Alter
$t-1$
No
Yes
$t-1$
$t$
No
Yes
No
Yes
Ego
No
No
1
2
9
10
Yes
3
4
11
12
Yes
No
5
6
13
14
The
first two Yes/No columns represent Ego's adoption of the innovation in $t-1$
and $t$; while the first two Yes/No rows represent Alter's adoption of the
innovation in $t-1$ and t respectively. So for example, number 4 means that
while neither of the two had addopted the innovation in $t-1$, both have in $t$.
At the same time, number 12 means that ego adopted the innovation in $t$, but
alter had already adopted in $t-1$ (so it has it in both, $t$ and $t-1$).
References
Thomas W. Valente, Stephanie R. Dyal, Kar-Hai Chu, Heather Wipfli, Kayo
Fujimoto, Diffusion of innovations theory applied to global tobacco control
treaty ratification, Social Science & Medicine, Volume 145, November 2015,
Pages 89-97, ISSN 0277-9536
(http://dx.doi.org/10.1016/j.socscimed.2015.10.001)