Understanding the Heavy Tailed Dynamics in Human Behavior

  title={Understanding the Heavy Tailed Dynamics in Human Behavior},
  author={Gordon J. Ross and Tim Jones},
  journal={Physical review. E, Statistical, nonlinear, and soft matter physics},
  volume={91 6},
  • Gordon J. RossTim Jones
  • Published 7 May 2015
  • Biology
  • Physical review. E, Statistical, nonlinear, and soft matter physics
The recent availability of electronic data sets containing large volumes of communication data has made it possible to study human behavior on a larger scale than ever before. From this, it has been discovered that across a diverse range of data sets, the interevent times between consecutive communication events obey heavy-tailed power law dynamics. Explaining this has proved controversial, and two distinct hypotheses have emerged. The first holds that these power laws are fundamental, and… 

Figures and Tables from this paper

Modeling Human Dynamics and Lifestyle Using Digital Traces

A multivariate, periodic Hawkes process (MPHP) model is proposed that captures -- at the individual level -- the temporal clustering of human activity, the interdependence structure and co-excitation of different activities, and the periodic effects of weekly rhythms.

Statistical Methods for Analyzing Time Series Data Drawn from Complex Social Systems

This thesis develops a non-parametric method for smoothing time series data corrupted by serially correlated noise, and demonstrates that user behavior, while quite complex, belies simple underlying computational structures.

Bursty Human Dynamics

This book provides a comprehensive overview on emergent bursty patterns in the dynamics of human behaviour. It presents common and alternative understanding of the investigated phenomena, and points

Individual-driven versus interaction-driven burstiness in human dynamics: The case of Wikipedia edit history.

The degree of initiative (DoI) of an editor of interest in each Wikipedia article is quantified by using the statistics of bursty periods containing the editor's edits, which reveals which is dominant between individual-driven and interaction-driven burstiness.

Power-law scaling of calling dynamics in zebra finches

This work quantified this calling activity of captive zebra finches by using on-bird telemetric microphones that permitted a precise temporal resolution and identified the reactive and the self-contained callings, which were characterized by a power-law with exponents ranging between 2 and 3.

Computational landscape of user behavior on social media

This work introduces a new social modeling approach that enables the creation of models directly from data with minimal a priori restrictions on the model class, and infer the minimally complex, maximally predictive representation of an individual's behavior when viewed in isolation and as driven by a social input.

From Filled to Empty Time Intervals: Quantifying Online Behaviors with Digital Traces

ABSTRACT Ordinary users fill some intervals on the time continuum by engaging in an online behavior and leave other intervals empty by disengaging from the behavior. Existing time-based measurements

Revealing Task Driven Knowledge Worker Behaviors in Open Source Software Communities

An empirical analysis of online collaborative activities closely related to assure software quality in two well-known OSS communities, namely Eclipse and Mozilla reveals regular patterns in human dynamics beyondOnline collaborative activities among skilled developers who work under different task-driven load conditions.



Detecting Network Intrusion Using a Markov Modulated Nonhomogeneous Poisson Process

A Markov modulated nonhomogeneous Poisson process (MMNHPP) is proposed to monitor transactions on a customer's account for deviations from the customer's established behavior patterns to detect network intrusion.

Phys Rev E

  • Phys Rev E
  • 2012


  • Phys
  • 2012

Proc Natl Acad Sci

  • Proc Natl Acad Sci
  • 2008

Proc Natl Acad Sci

  • Proc Natl Acad Sci
  • 2010

Phys Rev E

  • Phys Rev E
  • 2012

Phys Rev E

  • Phys Rev E
  • 2008

LAN Lognormal statistics in e-mail communication patterns

  • 2006

Phys Lett

  • Phys Lett
  • 2009