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Automated monitoring of behavior reveals bursty interaction patterns and rapid spreading dynamics in honeybee social networks
Social networks mediate the spread of information and disease. The dynamics of spreading depends, among other factors, on the distribution of times between successive contacts in the network. Heavy-tailed (bursty) time distributions are characteristic of human communication networks, including face-...
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| Publicado no: | Proc Natl Acad Sci U S A |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
National Academy of Sciences
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5816157/ https://ncbi.nlm.nih.gov/pubmed/29378954 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1713568115 |
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