%0 Journal Article %J International Journal of Information Technology and Web Engineering %D 2006 %T Applying Social Network Analysis Techniques to Community-Driven Libre Software Projects %A López-Fernández, L. %A Gregorio Robles %A Jesus M. Gonzalez-Barahona %A Herraiz, I. %K apache %K conway's law %K cvs %K gnome %K kde %K scm %K social network analysis %K source code %X Source code management repositories of large, long-lived libre (free, open source) software projects can be a source of valuable data about the organizational structure, evolution, and knowledge exchange in the corresponding development communities. Unfortunately, the sheer volume of the available information renders it almost unusable without applying methodologies which highlight the relevant information for a given aspect of the project. Such methodology is proposed in this article, based on well known concepts from the social networks analysis field, which can be used to study the relationships among developers and how they collaborate in different parts of a project. It is also applied to data mined from some well known projects (Apache, GNOME, and KDE), focusing on the characterization of their collaboration network architecture. These cases help to understand the potentials of the methodology and how it is applied, but also shows some relevant results which open new paths in the understanding of the informal organization of libre software development communities. %B International Journal of Information Technology and Web Engineering %V 1 %G eng %> https://flosshub.org/sites/flosshub.org/files/06_Lopez_ijitwe_sna.pdf %0 Generic %D 2004 %T Applying Social Network Analysis to the Information in CVS Repositories %A López-Fernández, L. %A Gregorio Robles %A Jesus M. Gonzalez-Barahona %K apache %K complex networks %K cvs %K gnome %K kde %K libre software engineering %K source code %K source code repositories %K visualization techniques %K vizualization %X The huge quantities of data available in the CVS repositories of large, long-lived libre (free, open source) software projects, and the many interrelationships among those data offer opportunities for extracting large amounts of valuable information about their structure, evolution and internal processes. Unfortunately, the sheer volume of that information renders it almost unusable without applying methodologies which highlight the relevant information for a given aspect of the project. In this paper, we propose the use of a well known set of methodologies (social network analysis) for characterizing libre software projects, their evolution over time and their internal structure. In addition, we show how we have applied such methodologies to real cases, and extract some preliminary conclusions from that experience. %B International Workshop on Mining Software Repositories (MSR 2004) %P 101-105 %> https://flosshub.org/sites/flosshub.org/files/101ApplyingSocial.pdf