<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Studer, Matthias</style></author><author><style face="normal" font="default" size="100%">Müller, Benoît</style></author><author><style face="normal" font="default" size="100%">Ritschard, Gilbert</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Understanding the KDE Social Structure through Mining of Email Archive</style></title><secondary-title><style face="normal" font="default" size="100%">2nd Workshop on Public Data about Software Development (WoPDaSD 2007)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">bug tracking system</style></keyword><keyword><style  face="normal" font="default" size="100%">bugzilla</style></keyword><keyword><style  face="normal" font="default" size="100%">commit</style></keyword><keyword><style  face="normal" font="default" size="100%">email</style></keyword><keyword><style  face="normal" font="default" size="100%">email archive</style></keyword><keyword><style  face="normal" font="default" size="100%">kde</style></keyword><keyword><style  face="normal" font="default" size="100%">mailing list</style></keyword><keyword><style  face="normal" font="default" size="100%">participation</style></keyword><keyword><style  face="normal" font="default" size="100%">revision control</style></keyword><keyword><style  face="normal" font="default" size="100%">social network analysis</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2007</style></year></dates><urls><related-urls><url><style face="normal" font="default" size="100%">http://ifipwg213.org/sites/flosshub.org/files/wopdasd_studer_et_all_full.pdf</style></url></related-urls></urls><abstract><style face="normal" font="default" size="100%">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.</style></abstract><notes><style face="normal" font="default" size="100%">&quot;Our data source is constituted by e-mails sent to KDE mailing-lists and archived by MARC&quot;

&quot;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 “name-email” couples corresponding to a same contributor. Indeed, the algorithm suggests possible merges.&quot;

&quot;There is a specific mailing list in our data set, kde-commit, which gathers automatic notifications from the revision control system (RCS)....We measure “commit” by the number of messages sent to the “kde-commit” mailing list. However, we did not count “silent” commits, nor usual messages sent to this mailing list.&quot;

&quot;We measured activities done in BTS in two ways: “bug opener” and “non bug opener”.	First, we counted the number of modifications done by the contributor who opened the concerned bug report. &quot;
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