> I am trying to construct a social network from a data frame with rows
>
> acra numa acrb numb year expab eabo impab iabo
> 10 USA 2 CAN 20 1957 4017.000 0.0 3187.000 0.0
> 91 USA 2 CUB 40 1957 628.000 0.0 526.000 0.0
> 144 USA 2 HAI 41 1957 25.000 0.0 20.000 0.0
>
> and so on.
>
> I want the network to have directed edges from node acra to node acrb
> weighted by expab. What is the most convenient way to construct this
> network object?
Depends, I expect, on what you want to do with it. Building a matrix
from acra to acrb with expab as the matrix value (aka "tie strength")
wouldn't be all that crazy.
Depending on which of the R network bits you are choosing to use, and the
size of your data, different strategies are going to be more suitable than
others.
Generally there is good support for converting different representations
- edgelist, matrix, etc - and between them. Some of those conversion
methods don't work so well if the data is very large, however... you'll
find that the ones that rely on processing a full matrix are particularly
problematic, I expect.
--elijah
[School of Library and Information Science, Indiana University
Bloomington]
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