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Article overview
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An Information-Theoretic Approach to Network Modularity | | Etay Ziv
; Manuel Middendorf
; Chris Wiggins
; | | Date: |
16 Nov 2004 | | Subject: | Quantitative Methods; Genomics; Molecular Networks | q-bio.QM q-bio.GN q-bio.MN | | Affiliation: | 1 and 2 and 6), Manuel Middendorf (3 and 6), Chris Wiggins (4 and 5) ( College of Physicians & Surgeons, Department of Biomedical Engineering, Department of Physics, Department of Applied Physics and Applied Mathematics, Center for Computational Bi | | Abstract: | Exploiting recent developments in information theory, we propose, illustrate, and validate a principled information-theoretic algorithm for module discovery and resulting measure of network modularity. This measure is an order parameter (a dimensionless number between 0 and 1). Comparison is made to other approaches to module-discovery and to quantifying network modularity using Monte Carlo generated Erdos-like modular networks. Finally, the Network Information Bottleneck (NIB) algorithm is applied to a number of real world networks, including the "social" network of coauthors at the APS March Meeting 2004. | | Source: | arXiv, q-bio.QM/0411033 | | Services: | Forum | Review | PDF | Favorites | |
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