Network Text Analysis of R Mailing Lists

作者: Ingo Feinerer , Kurt Hornik , Patrick Mair , Angela Bohn , Stefan Theul

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摘要: In the worldwide R community, users and developers typically coming from a multitude of professions have one thing in common, namely great interest R. Due to nature shared interests they feel need discuss open questions, help other users, share their experiences. Hence, large amount expert talks between on hand feedback assists development successful source software. world, these decentralized geographically dispersed processes are supported by mailing lists R-help R-devel. Thousands authors write dozens e-mails daily findings information is not only with subscribers, but also even more internet users. Social network analysis (SNA) able reveal writers’ communication structure find behavioral patterns. What’s more, text mining (TM) allows examining content e-mails. Despite potential, few approaches combine SNA TM exist so far. our poster, we show how such combination, precisely “Network Text Analysis” R-devel list, can gain insights into process development.

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