Modeling correlated human dynamics with temporal preference

Peng Wang, Tao Zhou, Xiao-Pu Han and Bing-Hong Wang

Physica A: Statistical Mechanics and its Applications, 2014, vol. 398, issue C, 145-151

Abstract: We empirically study the activity pattern of individual blog-posting and observe the interevent time distributions decay as power-laws at both individual and population level. As different from previous studies, we find significant short-term memory in it. Moreover, the memory coefficient first decays in a power law and then turns to an exponential form. Our findings produce evidence for the strong short-term memory in human dynamics and challenge previous models. Accordingly, we propose a simple model based on temporal preference, which can well reproduce both the heavy-tailed nature and the strong memory effects. This work helps in understanding the temporal regularities of online human behaviors.

Keywords: Interevent time distribution; Power-law; Human dynamics (search for similar items in EconPapers)
Date: 2014
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:398:y:2014:i:c:p:145-151

DOI: 10.1016/j.physa.2013.12.014

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