Burstiness and memory in complex systems
Burstiness and memory in complex systems
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DOI：
10.1209/0295-5075/81/48002
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发表时间：
2008-01-01
期刊：
影响因子：
1.8
通讯作者：
Barabasi, A.-L.
中科院分区：
文献类型：
--
作者：
Goh, K.-I.;Barabasi, A.-L.
从电子邮件模式到地震，各种各样的真实的系统的动态都表现出突发性、间歇性的特征，其特征是短时间内的强烈活动，随后是长时间的无活动或减少活动。这种突发模式的起源的理解是阻碍了缺乏工具来比较不同的系统使用一个共同的框架。在这里，我们建议使用正交措施量化两个不同的机制，导致突发性的特点突发性的真实的信号：interevent时间分布和内存。我们发现自然现象的突发性根源于事件间时间分布和记忆，而人类动力学的记忆是弱的，突发性是由于事件间时间分布的变化。最后，我们表明，目前的模型缺乏再现在真实的系统中观察到的活动模式的能力，为未来的工作开辟了道路。版权所有（C）EPLA，2008.
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. Copyright (C) EPLA, 2008.