I have the following DF in R representing a directed graph:
>df from to timestamp duration 1 1521695321 1066724476 2014-07-28 14:34:00 6279 2 1523695522 3446234478 2014-02-24 13:36:00 3630 3 7621695323 1066234477 2013-12-11 22:11:00 1045 ... 101 1521695324 1662354377 2014-08-02 00:49:00 5504 102 1521695324 1066234478 2014-08-23 02:26:00 1276 103 1521695324 3446234477 2014-05-03 04:36:00 2228
I have turned this into a graph with igraph:
g <- graph.data.frame(df)
All of the vertices have multiple edges to the other vertices they connected to. Now, I want to turn some (random) connections of some (random) existing vertices with their respective existing connections and attributes into new, synthetic vertices so, that I will get new, similar vertices to the originals. But I have no clue how to separate the candidates and append to the vertex/edges list. (My task is to find identical entities under different nodes, this is why I want to produce some similar synthetic new vertices from existing ones.)
Additionally, I have to keep track of the original vertex names in the new artificial ones to figure out later which were the original ones (the goal is to recognize the similarity to the latter ones).
Thank you for any help.