Structure of a large social network.
We study a social network consisting of over 10(4) individuals, with a degree distribution exhibiting two power scaling regimes separated by a critical degree k(crit), and a power law relation between degree and local clustering. We introduce a growing random model based on a local interaction mecha...
| Auteurs principaux: | , |
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| Format: | Journal article |
| Langue: | English |
| Publié: |
2004
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