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Dynamics of calling activity to toll-free numbers in China

The quantitative understanding of human behavior is a key issue in modern science. Recently, inhomogeneous human activities have been described by bursts (consecutive activities separated by long periods of inactivity) and characterized by fat-tailed inter-event time (interval between two activities...

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Autores principales: Gui, Jun, Zheng, Zeyu, Fu, Dianzheng, Yang, Zihao, Gao, Yuan, Liu, Zhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7098560/
https://www.ncbi.nlm.nih.gov/pubmed/32214372
http://dx.doi.org/10.1371/journal.pone.0230592
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author Gui, Jun
Zheng, Zeyu
Fu, Dianzheng
Yang, Zihao
Gao, Yuan
Liu, Zhi
author_facet Gui, Jun
Zheng, Zeyu
Fu, Dianzheng
Yang, Zihao
Gao, Yuan
Liu, Zhi
author_sort Gui, Jun
collection PubMed
description The quantitative understanding of human behavior is a key issue in modern science. Recently, inhomogeneous human activities have been described by bursts (consecutive activities separated by long periods of inactivity) and characterized by fat-tailed inter-event time (interval between two activities) distributions. However, the dynamics between number of activities and activity duration are still unclear. In this study, we analyzed 133 million toll-free call records from China to study the dynamics between call frequency and call duration. We confirmed that both call frequency and call duration exhibit circadian cycles and weekly cycles. By analyzing intraday patterns of these two metrics, we found the opposite volatility and clustered distributions. Results of clustering analysis showed that calling activity to toll-free numbers can be clustered into four clusters. In the “Work” cluster, the distribution of call duration was significantly different from that in the other clusters. The corresponding time of “Work” cluster was much shorter than estimates based on common sense. 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. Moreover, we found a strong positive correlation between call frequency and call duration, as well as polarization of joint probability. The polarization indicates two extremes in inhomogeneous calling activity to toll-free numbers, i.e., either people are very busy or very idle. The empirical probability of the extreme was approximately four times that of random probability. Our findings may have great usage for studying the dynamics of inhomogeneous human behavior.
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spelling pubmed-70985602020-04-03 Dynamics of calling activity to toll-free numbers in China Gui, Jun Zheng, Zeyu Fu, Dianzheng Yang, Zihao Gao, Yuan Liu, Zhi PLoS One Research Article The quantitative understanding of human behavior is a key issue in modern science. Recently, inhomogeneous human activities have been described by bursts (consecutive activities separated by long periods of inactivity) and characterized by fat-tailed inter-event time (interval between two activities) distributions. However, the dynamics between number of activities and activity duration are still unclear. In this study, we analyzed 133 million toll-free call records from China to study the dynamics between call frequency and call duration. We confirmed that both call frequency and call duration exhibit circadian cycles and weekly cycles. By analyzing intraday patterns of these two metrics, we found the opposite volatility and clustered distributions. Results of clustering analysis showed that calling activity to toll-free numbers can be clustered into four clusters. In the “Work” cluster, the distribution of call duration was significantly different from that in the other clusters. The corresponding time of “Work” cluster was much shorter than estimates based on common sense. 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. Moreover, we found a strong positive correlation between call frequency and call duration, as well as polarization of joint probability. The polarization indicates two extremes in inhomogeneous calling activity to toll-free numbers, i.e., either people are very busy or very idle. The empirical probability of the extreme was approximately four times that of random probability. Our findings may have great usage for studying the dynamics of inhomogeneous human behavior. Public Library of Science 2020-03-26 /pmc/articles/PMC7098560/ /pubmed/32214372 http://dx.doi.org/10.1371/journal.pone.0230592 Text en © 2020 Gui et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Gui, Jun
Zheng, Zeyu
Fu, Dianzheng
Yang, Zihao
Gao, Yuan
Liu, Zhi
Dynamics of calling activity to toll-free numbers in China
title Dynamics of calling activity to toll-free numbers in China
title_full Dynamics of calling activity to toll-free numbers in China
title_fullStr Dynamics of calling activity to toll-free numbers in China
title_full_unstemmed Dynamics of calling activity to toll-free numbers in China
title_short Dynamics of calling activity to toll-free numbers in China
title_sort dynamics of calling activity to toll-free numbers in china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7098560/
https://www.ncbi.nlm.nih.gov/pubmed/32214372
http://dx.doi.org/10.1371/journal.pone.0230592
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