Re: [igraph] knn computation

[Filippo Santi]

Dear Szabolcs, 

Than you for the reply. I will check for these issues you mentioned, even if I should have created the network without allowing for self loops. Instead, I don't have clear what you mean for "parallel edges connecting the same two vertices": is it related with the possibility of having more edge attributes in the graph or is it related to the multiplexity of the graph?

Filippo

2018-01-23 21:10 GMT+01:00 Szabolcs Horvát <address@hidden>:

Hi Filippo,

The message means that your graph has either self-loops (an edge
connecting a vertex to itself), or parallel edges connecting the same
two vertices. The function does not work on such graphs.  You need to
supply a simple graph—take a look at simplify().

Also, be aware that knn() does not compute the mean neighbour strength
for weighted graphs.  https://github.com/igraph/igraph/issues/987

Szabolcs

On 23 January 2018 at 19:29, Filippo Santi <address@hidden> wrote:
> Dear all,
>
> I am new to R and even more to igraph. I am working on foreign direct
> investment network, and I am currently  trying to compute average nearest
> neighbour degree and average nearest neighbour strength, using the knn
> function. My code is as following:
>
> fdi.graph.2003 <- graph_from_data_frame(fdi.edge.2003, directed = T,
> vertices = fdi.attr.2003)
> ANND <- knn(fdi.graph.2003)
>
> However, R returns the following error message
>
> Error in knn(fdi.graph.2003) :
> At structural_properties.c:5889 : Average nearest neighbor degree Works only
> with simple graphs, Invalid value
>
> Do you have any explanation to try to solve this issue? I tried to compute
> it building the graph from a simple binary edgelist too (the above message
> comes from computations based on a weighted network with plenty of edge
> attributes, built from a data.frame) but it is not working either.
>
>
> Thanks for any help,
>
>
> Filippo
>
>
>

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--

Filippo Santi

PhD Candidate in Development Economics