Calling patterns in human communication dynamics

  title={Calling patterns in human communication dynamics},
  author={Zhi-Qiang Jiang and Wen-Jie Xie and Ming-Xia Li and Boris Podobnik and Wei‐Xing Zhou and Harry Eugene Stanley},
  journal={Proceedings of the National Academy of Sciences},
  pages={1600 - 1605}
Modern technologies not only provide a variety of communication modes (e.g., texting, cell phone conversation, and online instant messaging), but also detailed electronic traces of these communications between individuals. These electronic traces indicate that the interactions occur in temporal bursts. Here, we study intercall duration of communications of the 100,000 most active cell phone users of a Chinese mobile phone operator. We confirm that the intercall durations follow a power-law… 

Figures from this paper

Multidimensional Human Dynamics in Mobile Phone Communications
This paper focuses on user temporal communication behavior in the interplay between the two complementary communication media, text messages and phone calls, that represent the bi-dimensional scenario of analysis and provides a theoretical framework for analyzing multidimensional bursts as the most general burst category.
Understanding call logs of smartphone users for making future calls
Identifying idiosyncrasies in the ego-alter communication can help improve the calling experience of smartphone users by automatically (smartly) sorting the call log without any manual intervention.
Two-state Markov-chain Poisson nature of individual cellphone call statistics
It is demonstrated that the individual call activities are driven by two independent Poisson processes, which can be combined within a minimal model in terms of a two-state first-order Markov chain giving very good agreement with the empirical distributions using the parameters estimated from real data for about half of the individuals in the authors' sample.
Communication cliques in mobile phone calling networks
This study performs a comparative investigation of the cliques of the original DCN and its SVDCN constructed from the calling records of more than nine million individuals in Shanghai over a period of 110 days and unveils interesting communication behaviors among mobile phone users that are densely connected to each other.
Text and phone calls: user behaviour and dual-channel communication prediction
A generic predictive framework for the dual-channel environment is proposed which predicts the next communication event by modelling temporal information of call and text on a 2D plane and has three variations which not only predict the person who will be contacted at a particular time but also predict the channel of communication (call or text).
A comparative analysis of the statistical properties of large mobile phone calling networks
A comparative analysis of the statistical properties of these four networks, which are constructed from the calling records of more than nine million individuals in Shanghai over a period of 110 days, finds that these networks share many common structural properties and also exhibit idiosyncratic features when compared with previously studied large mobile calling networks.
On Temporal Regularity in Social Interactions: Predicting Mobile Phone Calls
The results show that users' historic calling patterns can predict future calls with reasonable accuracy, and an anonymized mobile phone usage dataset collected specifically for analyzing temporal patterns in mobile phone communication is tested.
Tracking urban human activity from mobile phone calling patterns
The large-scale data analysis techniques used to study the mobile phone calling activity of people in large cities show that the onset and termination of the calling activity synchronizes with the east-west progression of the sun, and that its timings are entrained to solar midnight.
Understanding Human Dynamics of Check-in Behavior in LBSNs
  • Yun Feng, Zhiwen Yu, Xinjiang Lu, Jilei Tian
  • Computer Science
    2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing
  • 2013
Human dynamics of the check-in data crawled from Jie Pang, a famous Chinese LBSN service is investigated and it is found that both the interval time and jump size follow a Weibull distribution rather than a power law distribution at the population level.


Evidence for a bimodal distribution in human communication
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.
Uncovering individual and collective human dynamics from mobile phone records
The mean collective behavior at large scales is studied and it is shown that the interevent time of consecutive calls is heavy-tailed, which has implications for dynamics of spreading phenomena in social networks.
Structure and tie strengths in mobile communication networks
It is found that, when it comes to information diffusion, weak and strong ties are both simultaneously ineffective, and this coupling significantly slows the diffusion process, resulting in dynamic trapping of information in communities.
The origin of bursts and heavy tails in human dynamics
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.
Empirical Analysis on the Human Dynamics of a Large-Scale Short Message Communication System
A real-life huge dataset of short message communication with 6326713 users and 37577781 records during the 2006 Chinese New Year is analyzed and shows that the number of shortmessage sendings, the interevent time between two consecutive short message sendings and the response time all follow heavy-tailed distribution.
Correlated Dynamics in Egocentric Communication Networks
It is found that the bursty trains usually evolve for pairs of individuals rather than for the ego and his/her several neighbours, thus burstiness is a property of the links rather than of the nodes.
Analysis of a large-scale weighted network of one-to-one human communication
A connected network of 3.9 million nodes from mobile phone call records is constructed, which can be regarded as a proxy for the underlying human communication network at the societal level and a positive correlation between the overlap and weight of a link is reported.
A Poissonian explanation for heavy tails in e-mail communication
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.
Understanding individual human mobility patterns
The trajectory of 100,000 anonymized mobile phone users whose position is tracked for a six-month period is studied, finding that, in contrast with the random trajectories predicted by the prevailing Lévy flight and random walk models, human trajectories show a high degree of temporal and spatial regularity.