Hi, R community!
As you can read in the headline, i have a question for you about igraph.
I need to make an algorithm that works as follow:
1) I start from a given network (for example a star: "g <- make_star(100)");
2) then, I assign to all nodes the same attribute (for example, all the
nodes in the same compartment, that I call "A": "v(g)$compartment <-
rep("A", 100)" );
3) I select a random number of nodes (for example: "sample(vcount(g), 10)");
No problem with 1), 2) and 3)! But, please, can you help me with the
following part of the algorithm?
4) I have to change the attribute to the randomly selected nodes (for
example, if the result of the random sample of 10 nodes is
sample(vcount(g),10)
[1] 18 11 26 28 44 67 86 89 52 78,
I have to change the compartment of nodes 18, 11, 26, ..., 78 from "A" to
"B");
5) I have to randomly sampling, within the nodes that still in the
compartment "A" (and not in "B") a given PERCENTAGE (and not a given
number) of the nodes (in this first iteration, there are 90 nodes in the
compartment "A", and I want to select, for example 15% of the 90 nodes).
6) I have to change the compartment of the just randomly selected nodes
from "A" to a new compartment, called "C"; (Note that this will be a part
of a "repeat until" loop, so I need to obtain an algorithm that
automatically turn the compartment of the randomly selected nodes from "A"
to "C").
7) I need to randomly sampling, AMONG THE NODES THAT ARE ADJACENT to those
in compartment "C", a given percentage of them, for example 12%, and turn
these just selected nodes into a new compartment, called "D".
8) If compartment "A" is empty, the algorithm stops. Otherwise, it return
at point 5)
End
Thank you in advance, if you have time to help me.
And sorry for my bad English.
Mario Rossi
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