The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Module identification in bipartite and directed networks
Open accessAbstract
Modularity is one of the most prominent properties of real-world complex networks. Here, we address the issue of module identification in two important classes of networks: bipartite networks and directed unipartite networks. Nodes in bipartite networks are divided into two nonoverlapping sets, and the links must have one end node from each set. Directed unipartite networks only have one type of node, but links have an origin and an end. We show that directed unipartite networks can be conveniently represented as bipartite networks for module identification purposes. We report on an approach especially suited for module detection in bipartite networks, and we define a set of random networks that enable us to validate the approach.
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Cited by
Fortunato, S. (2010) · Physics Reports · doi:10.1016/j.physrep.2009.11.002 · Cited by 11,293
Maps of random walks on complex networks reveal community structure
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Community Structure in Directed Networks
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Modularity and community detection in bipartite networks
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Metadata
- Authors
- Guimerà, R., Sales-Pardo, M., & Amaral, L. A. N.
- Venue
- Physical Review E
- Publisher
- American Physical Society (APS)
- Published
- 2007-09-06
- Volume
- 76
- Issue
- 3
- Pages
- 036102-036102
- ISSN
- 1539-3755 (ISSN-L)
- 1550-2376
- OpenAlex
- W2082257952
- Cited by
- 406
- References
- 44
- FWCI
- 16.30
- Type
- journal article
- Language
- en
- Open access
- green
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