Mining email social networks

By Christian Bird, Alex Gourley, Premkumar T. Devanbu, Michael Gertz, A. Swaminathan. IEEE Working Conference on Mining Software Repositories, 2006

625 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Latent social structure in open source projects (2008, methodology): “In previous work [7, 8] we examined social networks created from mailing list archives and looked at the differences between developers and non-developers from a social network metrics standpoint.”
Sensible Organizations: Technology and Methodology for Automatically Measuring Organizational Behavior (2008, background): “Previous studies have attempted to extract social network structures by looking at e-mail only [39].”
Improving bug triage with bug tossing graphs (2009, methodology): “This technique is commonly used for bug report and email mining [6, 7].”
The road ahead for Mining Software Repositories (2008, neutral): “, [8, 56]), and from run-time repositories (e.”
Gender and Tenure Diversity in GitHub Teams (2015, methodology): “To link the different aliases belonging to the same G IT H UB contributors as well as deal with the issue of “unknown” aliases (an artifact of GHTorrent), we devised a series of heuristics inspired by those of Bird et al. [5] and Vasilescu et al. [62].”