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Community analysis in social networks
Open accessAbstract
Abstract.We present an empirical study of different social networks obtained from digital repositories. Our analysis reveals the community structure and provides a useful visualising technique. We investigate the scaling properties of the community size distribution, and find that all the networks exhibit power law scaling in the community size distributions with exponent either -0.5 or -1. Finally we find that the networks’ community structure is topologically self-similar using the Horton-Strahler index.
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Cited by
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Self-citationModularity from fluctuations in random graphs and complex networks
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Self-citationThe Network of Global Corporate Control
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The complex structure of hunter–gatherer social networks
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Metadata
- Authors
- Arenas, A., Danon, L., D�az-Guilera, A., Gleiser, P. M., & Guimer�, R.
- Venue
- The European Physical Journal B - Condensed Matter
- Published
- 2004-03-01
- Volume
- 38
- Issue
- 2
- Pages
- 373-380
- ISSN
- 1434-6028 (ISSN-L)
- 1434-6036
- OpenAlex
- W2088240926
- Cited by
- 171
- References
- 0
- FWCI
- 8.19
- Type
- journal article
- Language
- en
- Open access
- green
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- Arenas, A., Danon, L., D�az-Guilera, A., Gleiser, P. M., & Guimer�, R. (2004). Community analysis in social networks. The European Physical Journal B - Condensed Matter. https://doi.org/10.1140/epjb/e2004-00130-1
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