Taylor, A.J. and Vass, K. and Higham, Desmond (2011) Discovering bipartite substructure in directed networks. LMS Journal of Computation and Mathematics, 14. pp. 72-86.
P101.pdf - Preprint
Download (1MB) | Preview
Bipartivity is an important network concept that can be applied to nodes, edges and communities. Here we focus on directed networks and look for subnetworks made up of two distinct groups of nodes, connected by “one-way” links. We show that a spectral approach can be used to find hidden substructure of this form. Theoretical support is given for the idealised case where there is limited overlap between subnetworks. Numerical experiments show that the approach is robust to spurious and missing edges. A key application of this work is in the analysis of high-throughput gene expression data, and we give an example where a biologically meaningful directed bipartite subnetwork is found from a cancer microarray data set.
|Keywords:||bipartite substructure, directed networks, subnetworks, discovering, Mathematics, Mathematics(all), Computational Theory and Mathematics|
|Subjects:||Science > Mathematics|
|Department:||Faculty of Science > Mathematics and Statistics|
|Depositing user:||Pure Administrator|
|Date Deposited:||07 Mar 2011 23:25|
|Last modified:||30 Apr 2017 10:32|