[R] Visualization of people's interactions by participation to parties
jvadams at usgs.gov
Fri Sep 4 18:17:45 CEST 2015
It's not clear to me what kind of R help you are looking for. I suggest
you provide more information on the data that you have and the questions
that you want answered. Is it in an external file? Is it an R object?
What code have you written or tried? Including example data, for example
the output from dput(), is very helpful.
On Wed, Sep 2, 2015 at 1:46 AM, Voxcoelestis via R-help <
r-help at r-project.org> wrote:
> Dear all,
> I have a long list of parties and participants over many years and want to
> extract network relations between people to identify groups of friends. My
> list looks like this:
> Party 1; date party 1; first name 1 last name 1; first name 2 last name 2;
> first name 3 last name 3;
> Party 2; date party 2; first name 1 last name 1; first name 3 last name 3;
> first name 4 last name 4;
> Party 3; date party 3; first name 3 last name 3; first name 5 last name 5;
> Party 4; date party 4; first name 2 last name 2; first name 6 last name 6;
> first name 3 last name 3; first name 1 last name 1;
> Party 5; date party 5; first name 5 last name 5; first name 4 last name 4;
> Obviously the amount and the order of names is not regular. The list is
> far too long to count co-appearances for each person-person combination by
> What I would like to do is first of all create a network with individual
> persons as nodes and the co-appearances as edges and the number of
> co-appearances as strenght of interactions clustering closesly related
> In a second step it would be beneficial to extract information on the
> durability of these interactions by including the time difference between
> first and last interaction.
> Do you have any ideas or hints how to approach this problem?
> Thank you so much,
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
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> and provide commented, minimal, self-contained, reproducible code.
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