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Community Structure in Directed Networks
Open accessAbstract
We consider the problem of finding communities or modules in directed networks. In the past, the most common approach to this problem has been to ignore edge direction and apply methods developed for community discovery in undirected networks, but this approach discards potentially useful information contained in the edge directions. Here we show how the widely used community finding technique of modularity maximization can be generalized in a principled fashion to incorporate information contained in edge directions. We describe an explicit algorithm based on spectral optimization of the modularity and show that it gives demonstrably better results than previous methods on a variety of test networks, both real and computer generated.
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Citations
Cites
Finding and evaluating community structure in networks
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Self-citationModularity and community structure in networks
Newman, M. E. J. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601602103 · Cited by 12,256
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Magnetic eigenmaps for community detection in directed networks
Fanuel, M., Alaíz, C. M., & Suykens, J. A. K. (2017) · Physical Review E · doi:10.1103/physreve.95.022302 · Cited by 50
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Generative models of rich clubs in Hebbian neuronal networks and large-scale human brain networks
Vértes, P. E., Alexander-Bloch, A., & Bullmore, E. T. (2014) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2013.0531 · Cited by 50
Optimized connectome architecture for sensory-motor integration
Worrell, J. C., Rumschlag, J., Betzel, R. F., Sporns, O., & Mišić, B. (2017) · Network Neuroscience · doi:10.1162/netn_a_00022 · Cited by 32
Magnetic Eigenmaps for the visualization of directed networks
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Metadata
- Authors
- Leicht, E. A., & Newman, M. E. J.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2008-03-21
- Volume
- 100
- Issue
- 11
- Pages
- 118703-118703
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W2063251739
- Cited by
- 1,116
- References
- 2
- FWCI
- 39.02
- Type
- journal article
- Language
- en
- Open access
- green
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