Burstiness: Measures, models, and dynamic consequences

Byungjoon Min, Kwang-Il Goh

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Various human activities were shown to exhibit heavy-tailed dynamics, dubbed "burstiness," which manifests itself as a fat tail in the waiting time distribution. Such a heavy-tailed activity crucially deviates from the traditional assumption of Poisson random activity which had been used for over a century in many theoretical and practical modelings of human activity-based problems. In this survey article, we will overview some recent studies on burstiness, focusing on (a) how to characterize the burstiness, (b) how to model the bursty human activity at the individual and population levels, and (c) how the bursty activity could modify the collective dynamics of spreading processes in social networks.

Original languageEnglish
Pages (from-to)41-64
Number of pages24
JournalUnderstanding Complex Systems
DOIs
Publication statusPublished - 2013 Sep 11

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ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Mechanics
  • Software

Cite this

Burstiness : Measures, models, and dynamic consequences. / Min, Byungjoon; Goh, Kwang-Il.

In: Understanding Complex Systems, 11.09.2013, p. 41-64.

Research output: Contribution to journalArticle

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