@conference {629,
	title = {Community Structure, Individual Participation and the Social Construction of Merit},
	booktitle = {OSS2007: Open Source Development, Adoption and Innovation (IFIP 2.13)},
	series = {IFIP International Federation for Information Processing },
	volume = {234/2007},
	year = {2007},
	month = {2007///},
	pages = {161 - 172},
	publisher = {Springer},
	organization = {Springer},
	chapter = {13},
	abstract = {FLOSS communities are often described as meritocracies. We consider merit as a social construction that structures the community as a whole by allocating prestige to its participants on the basis of what they do. It implies a hierarchy of the different activities (web maintenance, writing code, bug report...) within the project. We present a study based on the merging of two datasets. We analyze the archive of KDE mailing lists using a social network. We also use responses to a questionnaire of KDE participants. Results bring empirical evidences showing that this hierarchy structures the community of KDE by allocating more central position to participants with more prestigious activities. We also show that this hierarchy structures individuals participation by giving greater {\textquotedblleft}membership esteem{\textquotedblright} to members involved in more prestigious activities.
},
	issn = {978-0-387-72485-0},
	doi = {http://dx.doi.org/10.1007/978-0-387-72486-7_13},
	attachments = {https://flosshub.org/sites/flosshub.org/files/Community\%20Structure\%20Individual.pdf},
	author = {Studer, Matthias}
}
@conference {1226,
	title = {Understanding the KDE Social Structure through Mining of Email Archive},
	booktitle = {2nd Workshop on Public Data about Software Development (WoPDaSD 2007)},
	year = {2007},
	note = {"Our data source is constituted by e-mails sent to KDE mailing-lists and archived by MARC"

"Two problems quickly arise: neither the e-mails addresses nor the names can be considered unique. Consequently, we used an in-depth search algorithm to put together {\textquotedblleft}name-email{\textquotedblright} couples corresponding to a same contributor. Indeed, the algorithm suggests possible merges."

"There is a specific mailing list in our data set, kde-commit, which gathers automatic notifications from the revision control system (RCS)....We measure {\textquotedblleft}commit{\textquotedblright} by the number of messages sent to the {\textquotedblleft}kde-commit{\textquotedblright} mailing list. However, we did not count {\textquotedblleft}silent{\textquotedblright} commits, nor usual messages sent to this mailing list."

"We measured activities done in BTS in two ways: {\textquotedblleft}bug opener{\textquotedblright} and {\textquotedblleft}non bug opener{\textquotedblright}.	First, we counted the number of modifications done by the contributor who opened the concerned bug report. "
},
	abstract = {In order to achieve a better understanding of FLOSS social structure, we need a definition of social position. From a theoretical perspective, we propose to think the participation as a trajectory. Empirically, we use optimal matching to build a typology of participation trajectories based on KDE email archives. We show how these trajectories structure the community as a whole by combining these results with a social network analysis.},
	keywords = {bug tracking system, bugzilla, commit, email, email archive, kde, mailing list, participation, revision control, social network analysis},
	attachments = {https://flosshub.org/sites/flosshub.org/files/wopdasd_studer_et_all_full.pdf},
	author = {Studer, Matthias and M{\"u}ller, Beno{\^\i}t and Ritschard, Gilbert}
}
