Circadian pattern and burstiness in mobile phone communication

@article{Jo2012CircadianPA,
  title={Circadian pattern and burstiness in mobile phone communication},
  author={Hang-Hyun Jo and M{\'a}rton Karsai and J'anos Kert'esz and Kimmo K. Kaski},
  journal={New Journal of Physics},
  year={2012},
  volume={14},
  pages={013055}
}
The temporal communication patterns of human individuals are known to be inhomogeneous or bursty, which is reflected as heavy tail behavior in the inter-event time distribution. As the cause of such a bursty behavior two main mechanisms have been suggested: (i) inhomogeneities due to the circadian and weekly activity patterns and (ii) inhomogeneities rooted in human task execution behavior. In this paper, we investigate the role of these mechanisms by developing and then applying systematic de… 
Microscopic Modelling Circadian and Bursty Pattern of Human Activities
TLDR
A large scale of dataset is collected which contains individuals’ time stamps when articles are posted on blog posts, and based on which a theoretical model is constructed which can take into account both ignored ingredients of the priority-based queueing model.
Daily Rhythms in Mobile Telephone Communication
TLDR
Clear individual differences in daily patterns of phone calls are demonstrated, and it is shown that these individual differences are persistent despite a high degree of turnover in the individuals’ social networks.
Circadian rhythms in temporal-network connectivity.
TLDR
It is found that temporal connectivity also follows a circadian rhythm, where at night a larger fraction of contacts is associated with such sequences and where contacts appear more independent at daytime, pointing out that temporal networks show richer variation in time than what has been known thus far.
Awakening City: Traces of the Circadian Rhythm within the Mobile Phone Network Data
In this study, call detail records (CDR), covering Budapest, Hungary, are processed to analyze the circadian rhythm of the subscribers. An indicator, called wake-up time, is introduced to describe
Stationarity of the inter-event power-law distributions
TLDR
The results suggest that there is an intrinsic humankind scheduling pattern: after overcoming the encumbrance of starting an activity, there is a robust distribution of new related actions, which does not depend on the time of day at which the activity started.
Dynamics of calling activity to toll-free numbers in China
TLDR
Intraday patterns and clustering results showed that both call frequency and call duration are primarily related to circadian cycles, the nature of human beings, and that work is a secondary factor that affects these variables.
Channel-Specific Daily Patterns in Mobile Phone Communication
TLDR
There is an unexpected richness to the daily communication patterns, from different types of ties being activated at different times of day to different roles of communication channels and gender differences.
Interval Signature: Persistence and Distinctiveness of Inter-event Time Distributions in Online Human Behavior
TLDR
The goal of this paper is to understand how persistent an individual's interval pattern is and how distinctive it is from those of the others, and to put the new findings in practical use of identifying users.
Universal features of correlated bursty behaviour
TLDR
It is shown that the distribution of the number of events in a bursty period serves as a good indicator of the dependencies, leading to the universal observation of power-law distribution for a broad class of phenomena.
On the origin of burstiness in human behavior: The wikipedia edits case
TLDR
This work uses the freely available Wikipedia's editing records to tackle the question of burstiness, and finds that, even though the editing activity is conditioned by the circadian 24 hour cycle, the conditional probability of an activity of a given duration at a given time of the day is independent from the latter.
...
...

References

SHOWING 1-10 OF 30 REFERENCES
Burstiness and memory in complex systems
TLDR
It is found that for human dynamics memory is weak, and the bursty character is due to the changes in the interevent time distribution, and it is shown that current models lack in their ability to reproduce the activity pattern observed in real systems, opening up avenues for future work.
The origin of bursts and heavy tails in human dynamics
TLDR
It is shown that the bursty nature of human behaviour is a consequence of a decision-based queuing process: when individuals execute tasks based on some perceived priority, the timing of the tasks will be heavy tailed, with most tasks being rapidly executed, whereas a few experience very long waiting times.
A Poissonian explanation for heavy tails in e-mail communication
TLDR
It is demonstrated that the approximate power-law scaling of the inter-event time distribution is a consequence of circadian and weekly cycles of human activity, and a cascading nonhomogeneous Poisson process is proposed that explicitly integrates these periodic patterns in activity with an individual's tendency to continue participating in an activity.
Modeling bursts and heavy tails in human dynamics
TLDR
It is shown that the bursty nature of human behavior is a consequence of a decision based queuing process: when individuals execute tasks based on some perceived priority, the timing of the tasks will be heavy tailed, most tasks being rapidly executed, while a few experiencing very long waiting times.
Role of activity in human dynamics
TLDR
A systematic empirical exploration of the time between two consecutive ratings of movies (the interevent time) is presented, finding a monotonous relation between the activity of individuals and the power law exponent of the intereven time distribution.
Evidence for a bimodal distribution in human communication
TLDR
This work presents clear empirical evidence from Short Message correspondence that observed human actions are the result of the interplay of three basic ingredients: Poisson initiation of tasks and decision making for task execution in individual humans as well as interaction among individuals.
Poissonian bursts in e-mail correspondence
TLDR
This work uses the Fano and Allan factors to quantify the extent to which the empirical data are more correlated — bursty — than a Poisson process, demonstrating that any correlations in the data are not due to the precise ordering of events.
Limits of Predictability in Human Mobility
TLDR
Analysis of the trajectories of people carrying cell phones reveals that human mobility patterns are highly predictable, and a remarkable lack of variability in predictability is found, which is largely independent of the distance users cover on a regular basis.
Modelling the scaling properties of human mobility
TLDR
Empirical data is used to show that the predictions of the CTRW models are in systematic conflict with the empirical results, and two principles that govern human trajectories are introduced, allowing for a statistically self-consistent microscopic model for individual human mobility.
On Universality in Human Correspondence Activity
TLDR
It is demonstrated that, like e-mail correspondence, the letter correspondence patterns of 16 writers, performers, politicians, and scientists are well described by the circadian cycle, task repetition, and changing communication needs, and confirmed the universality of these mechanisms by rescaling letter and e- email correspondence statistics to reveal their underlying similarity.
...
...