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Non-negative matrix factorisation for network reordering

Lee, Clare and Higham, Desmond and Crowther, D. and Vass, J. Keith (2010) Non-negative matrix factorisation for network reordering. Monografias de la Real Academia de Ciencias de Zaragoza, 33. pp. 39-53.

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Non-negative matrix factorisation covers a variety of algorithms that attempt to represent a given, large, data matrix as a sum of low rank matrices with a prescribed sign pattern. There are intuitave advantages to this approach, but also theoretical and computational challenges. In this exploratory paper we investigate the use of non-negative matrix factorisation algorithms as a means to reorder the nodes in a large network. This gives a set of alternatives to the more traditional approach of using the singular value decomposition. We describe and implement a range of recently proposed algorithms and evaluate their performance on synthetically constructed test data and on a real data set arising in cancer research.