The shape of the TeraGrid: Analysis of TeraGrid users and projects as an affiliation network. Knepper, R. In Proceedings of the TeraGrid 2011 Conference: Extreme Digital Discovery, TG'11, 2011. Website doi abstract bibtex I examine the makeup of the users and projects of the TeraGrid using social network analysis techniques. Analyzing the TeraGrid as an affiliation (two-mode) network allows for understanding the relationship between types of users and field of science and allocation size of projects. The TeraGrid data shows that while less than half of TeraGrid users are involved in projects that are connected to each other, a considerable core of the TeraGrid emerges that constitutes the most-commonly-related projects. The largest complete subgraph of TeraGrid users and projects constitutes a more dense and more centralized network core of TeraGrid users. I perform social network analysis on the largest complete subgraph in order to identify additional groupings of projects and users within the TeraGrid. This analysis of users and projects provides substantive information about the connections of individual scientists, projects groups, and fields of science in a large-scale environment that incorporates both competition and cooperation between actors. © 2011 Author.
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title = {The shape of the TeraGrid: Analysis of TeraGrid users and projects as an affiliation network},
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abstract = {I examine the makeup of the users and projects of the TeraGrid using social network analysis techniques. Analyzing the TeraGrid as an affiliation (two-mode) network allows for understanding the relationship between types of users and field of science and allocation size of projects. The TeraGrid data shows that while less than half of TeraGrid users are involved in projects that are connected to each other, a considerable core of the TeraGrid emerges that constitutes the most-commonly-related projects. The largest complete subgraph of TeraGrid users and projects constitutes a more dense and more centralized network core of TeraGrid users. I perform social network analysis on the largest complete subgraph in order to identify additional groupings of projects and users within the TeraGrid. This analysis of users and projects provides substantive information about the connections of individual scientists, projects groups, and fields of science in a large-scale environment that incorporates both competition and cooperation between actors. © 2011 Author.},
bibtype = {inproceedings},
author = {Knepper, R},
doi = {10.1145/2016741.2016799},
booktitle = {Proceedings of the TeraGrid 2011 Conference: Extreme Digital Discovery, TG'11}
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