@book {1249,
	title = {Open Source Software Developer and Project Networks},
	series = {IFIP Advances in Information and Communication TechnologyOpen Source Software: New Horizons},
	volume = {319},
	year = {2010},
	note = {no information on data gathering procedures},
	pages = {407 - 412},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	address = {Berlin, Heidelberg},
	abstract = {This paper outlines complex network concepts and how social networks are built from Open Source Software (OSS) data. We present an initial study of the social networks of three different OSS forges, BerliOS Developer, GNU Savannah, and SourceForge. Much research has been done on snapshot or conflated views of these networks, especially SourceForge, due to the size of the SourceForge community. The degree distribution, connectedness, centrality, and scale-free nature of SourceForge has been presented for the network at particular points in time. However, very little research has been done on how the network grows, how connections were made, especially during its infancy, and how these metrics evolve over time. },
	keywords = {berlios, savannah, sourceforge},
	isbn = {978-3-642-13244-5},
	issn = {1861-2288},
	doi = {10.1007/978-3-642-13244-5_39},
	author = {Madey, G. and van Antwerp, M.},
	editor = {{\r A}gerfalk, P{\"a}r and Boldyreff, Cornelia and Gonz{\'a}lez-Barahona, Jes{\'u}s M. and Madey, Gregory R. and Noll, John}
}
@book {1250,
	title = {Warehousing and Studying Open Source Versioning Metadata},
	series = {IFIP Advances in Information and Communication Technology Open Source Software: New Horizons (OSS 2010)},
	volume = {319},
	year = {2010},
	pages = {413 - 418},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	address = {Berlin, Heidelberg},
	abstract = {In this paper, we describe the downloading and warehousing of Open Source Software (OSS) versioning metadata from SourceForge, BerliOS Developer, and GNU Savannah. This data enables and supports research in areas such as software engineering, open source phenomena, social network analysis, data mining, and project management. This newly-formed database containing Concurrent Versions System (CVS) and Subversion (SVN) metadata offers new research opportunities for large-scale OSS development analysis. The CVS and SVN data is juxtaposed with the SourceForge.net Research Data Archive [5] for the purpose of performing more powerful and interesting queries. We also present an initial statistical analysis of some of the most active projects. },
	keywords = {berlios, cvs, savannah, scm, sourceforge, srda, subversion, svn},
	isbn = {978-3-642-13244-5},
	issn = {1861-2288},
	doi = {10.1007/978-3-642-13244-5_40},
	author = {van Antwerp, M. and Madey, G.},
	editor = {{\r A}gerfalk, P{\"a}r and Boldyreff, Cornelia and Gonz{\'a}lez-Barahona, Jes{\'u}s M. and Madey, Gregory R. and Noll, John}
}
@article {75,
	title = {Global and Temporal Analysis of Social Positions at SourceForge. net},
	journal = {Third International Conference on Open Source Systems, IFIP WG},
	volume = {2},
	year = {2007},
	author = {Christley, S. and Madey, G.}
}
@conference {1090,
	title = {A Topological Analysis of the Open Souce Software Development Community},
	booktitle = {Proceedings of the 38th Annual Hawaii International Conference on System Sciences},
	year = {2006},
	note = {"We extracted data from a 2003 data dump obtained from SourceForge. "
roles},
	pages = {1-10},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Big Island, HI, USA},
	abstract = {The fast growth of OSS has increased the interest in studying the composition of the OSS community and its collaboration mechanisms. Moreover, the success of a project may be related to the underlying social structure of the OSS development community. In this paper, we perform a quantitative analysis of Open Source Software developers by studying the entire development community at SourceForge [26]. Statistics and social network properties are explored to find collaborations and the effects of different members in the OSS development community. Small world phenomenon and scale free behaviors are found in the SourceForge development network. These topological properties may potentially explain the success and efficiency of OSS development practices. We also infer from our analysis that weakly associated but contributing co-developers and active users may be an important factor in OSS development.},
	keywords = {contributors, developers, roles, social network analysis, social networks, sourceforge, srda, users},
	doi = {10.1109/HICSS.2005.57},
	url = {http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.132.6830\&rep=rep1\&type=pdf},
	attachments = {https://flosshub.org/sites/flosshub.org/files/xuGao.pdf},
	author = {Jin Xu and Gao, Yongqin and Christley, S. and Madey, G.}
}
@inbook {Madey_Freeh_Tynan_2002,
	title = {The open source software development phenomenon: An analysis based on social network theory},
	booktitle = {Proceedings of the Eighth Americas Conference on Information Systems},
	year = {2002},
	pages = {1806{\textendash}1813},
	abstract = {The OSS movement is a phenomenon that challenges many traditional theories in economics, software engineering, business strategy, and IT management. Thousands of software programmers are spending tremendous amounts of time and effort writing and debugging software, most often with no direct monetary compensation. The programs, some of which are extremely large and complex, are written without the benefit of traditional project management, change tracking, or error checking techniques. Since the programmers are working outside of a traditional organizational reward structure, accountability is an issue as well. A significant portion of internet e-commerce runs on OSS, and thus many firms have little choice but to trust mission-critical e-commerce systems to run on such software, requiring IT management to deal with new types of socio-technical problems. A better understanding of how the OSS community functions may help IT planners make more informed decisions and develop more effective strategies for using OSS software. We hypothesize that open source software development can be modeled as self-organizing, collaboration, social networks. We analyze structural data on over 39,000 open source projects hosted at SourceForge.net involving over 33,000 developers. We define two software developers to be connected part of a collaboration social network if they are members of the same project, or are connected by a chain of connected developers. Project sizes, developer project participation, and clusters of connected developers are analyzed. We find evidence to support our hypothesis, primarily in the presence of power-law relationships on project sizes (number of developers per project), project membership (number of projects joined by a developer), and cluster sizes. Potential implications for IT researchers, IT managers, and governmental policy makers are discussed.},
	keywords = {developers, social network analysis, social networks, sourceforge},
	url = {http://ais.bepress.com/cgi/viewcontent.cgi?article=1606\&context=amcis2002},
	attachments = {https://flosshub.org/sites/flosshub.org/files/MadeyFreehAmcis2002.pdf},
	author = {Madey, G. and Freeh, V and Tynan, R}
}
@conference {Madey02understandingoss,
	title = {Understanding oss as a self-organizing process},
	booktitle = {In The 2nd Workshop on Open Source Software Engineering at the 24th International Conference on Software Engineering (ICSE2002},
	year = {2002},
	abstract = {We hypothesize that open source software development can be modeled as self-organizing, collaboration, social networks. We analyze structural data on over 39,000 open source projects hosted at SourceForge.net. We define two software developers to be connected {\textemdash} part of a collaboration social network {\textemdash} if they are members of the same project, or are connected by a chain of connected developers. Project sizes, developer project participation, and clusters of connected developers are analyzed. We find evidence to support our hypothesis, primarily in the presence of power-law relationships on project sizes (number of developers per project), project membership (number of projects joined by a developer), and cluster sizes.},
	keywords = {developers, size, social network analysis, social networks, sourceforge},
	attachments = {https://flosshub.org/sites/flosshub.org/files/MadeyFreehTynan.pdf},
	author = {Madey, G. and Freeh, V and Tynan, R}
}
