Network Text Analysis of R Mailing Lists UseR! Rennes 2009 Angela - PowerPoint PPT Presentation

Jul 30, 2023 •226 likes •377 views

Network Text Analysis of R Mailing Lists UseR! Rennes 2009 Angela Bohn, Ingo Feinerer, Kurt Hornik, Patrick Mair, Stefan Theul 7/10/2009 A mailing list social network R -help mailing list: Jan 2008 to May 2009 Number of authors: 5326

Network Text Analysis of R Mailing Lists UseR! Rennes 2009 Angela Bohn, Ingo Feinerer, Kurt Hornik, Patrick Mair, Stefan Theußl 7/10/2009
A mailing list social network R -help mailing list: Jan 2008 to May 2009 Number of authors: 5326 Number of mails: 41457 Avg. degree: 4.4 Diameter: 7 Legend: Author A Author B answered
Combine SNA and TM ◮ Goal: Combine social network analysis (SNA) and text mining (TM) to find out more ◮ Data: Mailing lists R-help and R-devel ◮ Packages: sna and tm ◮ Results: ◮ “Interest maps” of R users ◮ Detection of bottlenecks in communication
Data preparation for social network analysis ◮ Create a social network from e-mail headers ( tm ): From : dwinsemius at comcast.net (David Winsemius) Date: Thu, 30 Apr 2009 18:49:55 -0400 Subject: [R] Extracting Element from S4 objects In-Reply-To : <23302265.post@talk.nabble.com> Message-ID : <A6039F4E-ABF4-41C5-B03E-FFF32E07C37A@comcast.net> Author A: ''Hallo, I have a question.'' Author B: ''This is the answer.'' Author B Author D Author C Author C: ''This, too.'' Author D: ''And this.'' Author D: ''And this.'' Author A Author A: ''Thank you.'' ◮ Find aliases: knoblauch at lyon.inserm.fr (knoblauch) Levensthein Distance: knoblauch at lyon.inserm.fr (Ken Knoblauch) agrep(base) ken.knoblauch at inserm.fr (Kenneth Knoblauch) ken.knoblauch at inserm.fr (Ken Knoblauch)

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