Universal features of correlated bursty behaviour
By Márton Karsai, Kimmo K. Kaski, Albert-László Barabási, János Kertész. Scientific Reports, 2011
302 citations recorded by the source corpus.
Inhomogeneous temporal processes, like those appearing in human communications, neuron spike trains and seismic signals, consist of high-activity bursty intervals alternating with long low-activity periods. In recent studies such bursty behavior has been characterized by a fat-tailed inter-event time distribution, while temporal correlations were measured by the autocorrelation function. However, these characteristic functions are not capable to fully characterize temporally correlated heterogenous behavior. Here we show that the distribution of the number of events in a bursty period serves as a good indicator of the dependencies, leading to the universal observation of power-law distribution for a broad class of phenomena. We find that the correlations in these quite different systems can be commonly interpreted by memory effects and described by a simple phenomenological model, which displays temporal behavior qualitatively similar to that in real systems.
Subfields: Cognitive Neuroscience, Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/5d8126e1491710b9c7a8b7403f1f1db1ec85f031
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In Cognitive Neuroscience
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Citations in the corpus
- The Anatomy of a Scientific Rumor (2013, background): “Therefore, we make the simplifying assumption that he or she will not tweet again after the tweeting activation.”
- Modern temporal network theory: a colloquium (2015, unknown): “[131,130].”
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