Cargando…
Origins of power-law degree distribution in the heterogeneity of human activity in social networks
The probability distribution of number of ties of an individual in a social network follows a scale-free power-law. However, how this distribution arises has not been conclusively demonstrated in direct analyses of people's actions in social networks. Here, we perform a causal inference analysi...
Autores principales: | Muchnik, Lev, Pei, Sen, Parra, Lucas C., Reis, Saulo D. S., Andrade Jr, José S., Havlin, Shlomo, Makse, Hernán A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3646275/ https://www.ncbi.nlm.nih.gov/pubmed/23648793 http://dx.doi.org/10.1038/srep01783 |
Ejemplares similares
-
Corrigendum: Origins of power-law degree distribution in the heterogeneity of human
activity in social networks
por: Muchnik, Lev, et al.
Publicado: (2015) -
Searching for superspreaders of information in real-world social media
por: Pei, Sen, et al.
Publicado: (2014) -
How does public opinion become extreme?
por: Ramos, Marlon, et al.
Publicado: (2015) -
Exploring the Complex Pattern of Information Spreading in Online Blog Communities
por: Pei, Sen, et al.
Publicado: (2015) -
Communication activity in a social network: relation between long-term correlations and inter-event clustering
por: Rybski, Diego, et al.
Publicado: (2012)