Bursty Human Dynamics

03/07/2018
by   Márton Karsai, et al.
0

Bursty dynamics is a common temporal property of various complex systems in Nature but it also characterises the dynamics of human actions and interactions. At the phenomenological level it is a feature of all systems that evolve heterogeneously over time by alternating between periods of low and high event frequencies. In such systems, bursts are identified as periods in which the events occur with a rapid pace within a short time-interval while these periods are separated by long periods of time with low frequency of events. As such dynamical patterns occur in a wide range of natural phenomena, their observation, characterisation, and modelling have been a long standing challenge in several fields of research. However, due to some recent developments in communication and data collection techniques it has become possible to follow digital traces of actions and interactions of humans from the individual up to the societal level. This led to several new observations of bursty phenomena in the new but largely unexplored area of human dynamics, which called for the renaissance to study these systems using research concepts and methodologies, including data analytics and modelling. As a result, a large amount of new insight and knowledge as well as innovations have been accumulated in the field, which provided us a timely opportunity to write this brief monograph to make an up-to-date review and summary of the observations, appropriate measures, modelling, and applications of heterogeneous bursty patterns occurring in the dynamics of human behaviour.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
07/17/2019

Computational Human Dynamics

This thesis summarises my scientific contributions in the domain of netw...
research
12/24/2019

High Utility Interval-Based Sequences

Sequential pattern mining is an interesting research area with broad ran...
research
10/13/2022

Agent-Based Modelling for Urban Analytics: State of the Art and Challenges

Agent-based modelling (ABM) is a facet of wider Multi-Agent Systems (MAS...
research
01/04/2018

String Periods in the Order-Preserving Model

The order-preserving model (op-model, in short) was introduced quite rec...
research
08/01/2018

Antagonistic Phenomena in Network Dynamics

Recent research on the network modeling of complex systems has led to a ...
research
06/30/2018

Methods of nonlinear dynamics and the construction of cryptocurrency crisis phenomena precursors

This article demonstrates the possibility of constructing indicators of ...
research
09/16/2022

Interactions in Information Spread

Since the development of writing 5000 years ago, human-generated data ge...

Please sign up or login with your details

Forgot password? Click here to reset