The Virtue of High Performance Computing for the Statistical Analysis of Social Networks

Proceedings of the 3rd bwHPC-Symposium: Heidelberg 2016
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pp. 45-48
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Heidelberg
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heiBOOKS
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2017,

Sabine Richling, Martin Baumann, Vincent Heuveline,
Leszczensky, Lars, Pink Sebastian
ISBN: 978-3-946531-70-8 (online)
Abstract

We illustrate the potential of the bwHPC for sociological research. After briefly explaining why modern sociological research requires more computational time, we outline a recently developed computationally intense statistical model for the analysisof relational data. We close by summarizing an empirical study in which we applied this model to answer a substantive question and greatly benefited from the bwHPC with regard to computation time.