Quantifying Collective Attention from Tweet Stream

Online social media are increasingly facilitating our social interactions, thereby making available a massive “digital fossil” of human behavior. Discovering and quantifying distinct patterns using these data is important for studying social behavior, although the rapid time-variant nature and large...

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Detalles Bibliográficos
Autores principales: Sasahara, Kazutoshi, Hirata, Yoshito, Toyoda, Masashi, Kitsuregawa, Masaru, Aihara, Kazuyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3640043/
https://www.ncbi.nlm.nih.gov/pubmed/23637913
http://dx.doi.org/10.1371/journal.pone.0061823

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3640043/
https://www.ncbi.nlm.nih.gov/pubmed/23637913
http://dx.doi.org/10.1371/journal.pone.0061823

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