A Topological Analysis of the Open Source Software Development Community
J. Xu, Y. Gao, S. Christley, und G. Madey. HICSS '05: Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 7, Seite 198. Washington, DC, USA, IEEE Computer Society, (2005)
Zusammenfassung
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.
Beschreibung
presents a quantitive analysis of open source software developers
%0 Conference Paper
%1 paper:xu:2005
%A Xu, Jin
%A Gao, Yongqin
%A Christley, Scott
%A Madey, Gregory
%B HICSS '05: Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 7
%C Washington, DC, USA
%D 2005
%I IEEE Computer Society
%K 2005 analysis application networks open-source software
%P 198
%T A Topological Analysis of the Open Source Software Development Community
%U http://dx.doi.org/10.1109/HICSS.2005.57
%X 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.
@inproceedings{paper:xu:2005,
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.},
added-at = {2008-06-04T11:18:43.000+0200},
address = {Washington, DC, USA},
author = {Xu, Jin and Gao, Yongqin and Christley, Scott and Madey, Gregory},
biburl = {https://www.bibsonomy.org/bibtex/2dd476f26fd8a67e14ad9078abfeb74a2/mschuber},
booktitle = {HICSS '05: Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 7},
description = {presents a quantitive analysis of open source software developers},
interhash = {530e3fab2e348daa2ef2c04dc06863a6},
intrahash = {dd476f26fd8a67e14ad9078abfeb74a2},
keywords = {2005 analysis application networks open-source software},
pages = 198,
publisher = {IEEE Computer Society},
timestamp = {2008-09-09T12:56:34.000+0200},
title = {A Topological Analysis of the Open Source Software Development Community},
url = {http://dx.doi.org/10.1109/HICSS.2005.57},
year = 2005
}