Emergent user behavior on Twitter modelled by a stochastic differential equation.
Data from the social-media site, Twitter, is used to study the fluctuations in tweet rates of brand names. The tweet rates are the result of a strongly correlated user behavior, which leads to bursty collective dynamics with a characteristic 1/f noise. Here we use the aggregated "user interest&...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2015-01-01
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Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC4425543?pdf=render |