Hendrik, 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.
Jean On Wed, Sep 2, 2015 at 1:46 AM, Voxcoelestis via R-help < r-help@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 > hand. > > 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 > people. > > 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, > > Hendrik > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.