%0 Journal Article %J Proceedings of the 39th Annual Hawaii International Conference on System Sciences-Volume 06 %D 2006 %T Core and periphery in Free/Libre and Open Source software team communications %A Kevin Crowston %A Kangning Wei %A Li, Qing %A Howison, James %K bug fixing %K contributions %K contributors %K core %K developers %K social network analysis %K sourceforge %K team %X The concept of the core group of developers is important and often discussed in empirical studies of FLOSS projects. This paper examines the question, "how does one empirically distinguish the core?" Being able to identify the core members of a FLOSS development project is important because many of the processes necessary for successful projects likely involve core members differently than peripheral members, so analyses that mix the two groups will likely yield invalid results. We compare 3 analysis approaches to identify the core: the named list of developers, a Bradford's law analysis that takes as the core the most frequent contributors and a social network analysis of the interaction pattern that identifies the core in a core-and-periphery structure. We apply these measures to the interactions around bug fixing for 116 SourceForge projects. The 3 techniques identify different individuals as core members; examination of which individuals are identified leads to suggestions for refining the measures. All 3 measures though suggest that the core of FLOSS projects is a small fraction of the total number of contributors. %B Proceedings of the 39th Annual Hawaii International Conference on System Sciences-Volume 06 %G eng %1 information systems %2 computational %0 Conference Paper %B Workshop on Open Source Software Engineering, International Conference on Software Engineering %D 2004 %T Towards a Portfolio of FLOSS project Success Measures %A Kevin Crowston %A Hala Annabi %A Howison, James %A Chengetai Masango %K bug fixing %K developers %K downloads %K project success %K sourceforge %K team %K team size %X Project success is one of the most widely used dependent variables in information systems research. However, conventional measures of project success are difficult to apply to Free/Libre Open Source Software projects. In this paper, we present an analysis of four measures of success applied to SourceForge projects: number of members of the extended development community, project activity, bug fixing time and number of downloads. We argue that these four measures provide different insights into the collaboration and control mechanisms of the projects. %B Workshop on Open Source Software Engineering, International Conference on Software Engineering %8 May %G eng %> https://flosshub.org/sites/flosshub.org/files/crowston04towards.pdf