Evidence map›Paper›PMID 32214372›Full record

ArticlePloS one2020

Dynamics of calling activity to toll-free numbers in China.

Jun Gui, Zeyu Zheng, Dianzheng Fu, Zihao Yang, Yuan Gao, Zhi Liu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Jun GuiShenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China.ORCID 0000-0003-3915-929X
Zeyu ZhengShenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China.ORCID 0000-0001-9706-3806
Dianzheng FuShenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China.
Zihao YangShenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China.
Yuan GaoShenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China.
Zhi LiuShenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China.
Shenyang Institute of Automation · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

BehaviorModels, StatisticalChinaCluster AnalysisHumansTelecommunications

Identifiers

PMID32214372
PMCPMC7098560
OpenAlexW3013857760

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.