Human Dynamics

Burstiness and memory in complex systems

The dynamics of a wide range of real systems, from email patterns to earthquakes,display a bursty, intermittent nature, characterized by short timeframes of intense activity followed by long times of no or reduced activity. The understanding of the origin of such bursty patterns is hindered by the lack of tools to compare different systems using a common framework. Here we propose to characterize the bursty nature of real signals using orthogonal measures quantifying two distinct mechanisms leading to burstiness: the interevent time distribution and the memory. We find that while the burstiness of natural phenomena is rooted in both the interevent time distribution and memory, for human dynamics memory is weak, and the bursty character is due to the changes in the interevent time distribution. Finally, we show that current models lack in their ability to reproduce the activity pattern observed in real systems, opening up avenues for future work.


More publications
C. A. Hidalgo, N. Blumm, A.-L. Barabási, N. A. Christakis

PLoS Computational Biology 5:4, 1-11 (2009)

A.L. Barabási

New England Journal of Medicine 357, 404-407 (2007)

Y. Shen, L. Liu, G. Estiu, B. Isin, Y.-Y. Ahn, D.-S. Lee, A.-L. Barabásii, v. Kapatral, O. Wiest, Z. N. Oltvai

Proceedings of the National Academy of Sciences of the United States of America 10.1073, 1-6 (2010)