Measuring burstiness for finite event sequences

Research output: Contribution to journalArticleScientificpeer-review

Researchers

Research units

  • Pennsylvania State University
  • Pohang University of Science and Technology

Abstract

Characterizing inhomogeneous temporal patterns in natural and social phenomena is important to understand underlying mechanisms behind such complex systems and, hence, even to predict and control them. Temporal inhomogeneities in event sequences have been described in terms of bursts that are rapidly occurring events in short time periods alternating with long inactive periods. The bursts can be quantified by a simple measure, called the burstiness parameter, which was introduced by Goh and Barabási [Europhys. Lett. 81, 48002 (2008)EULEEJ0295-507510.1209/0295-5075/81/48002]. The burstiness parameter has been widely used due to its simplicity, which, however, turns out to be strongly affected by the finite number of events in the time series. As the finite-size effects on burstiness parameter have been largely ignored, we analytically investigate the finite-size effects of the burstiness parameter. Then we suggest an alternative definition of burstiness that is free from finite-size effects and yet simple. Using our alternative burstiness measure, one can distinguish the finite-size effects from the intrinsic bursty properties in the time series. We also demonstrate the advantages of our burstiness measure by analyzing empirical data sets.

Details

Original languageEnglish
Article number032311
Pages (from-to)1-7
Number of pages7
JournalPhysical Review E
Volume94
Issue number3
Publication statusPublished - 15 Sep 2016
MoE publication typeA1 Journal article-refereed

Download statistics

No data available

ID: 8926044