SIA OpenIR  > 数字工厂研究室
Statistical Properties and Temporal Properties of Calling Behavior
Gui J(桂珺)1,2,3,4; Zheng ZY(郑泽宇)1,2; Zhao, Xuefeng1,2; Qin, Zhaobo4
Department数字工厂研究室
Conference Name5th IEEE International Conference on Computer and Communications, ICCC 2019
Conference DateDecember 6-9, 2019
Conference PlaceChengdu, China
Source Publication2019 IEEE 5th International Conference on Computer and Communications, ICCC 2019
PublisherIEEE
Publication PlaceNEW YORK
2019
Pages1940-1944
Indexed ByEI
EI Accession number20201808603247
Contribution Rank1
ISBN978-1-7281-4743-7
Keywordcall frequency call duration power law distribution log normal distribution circadian cycle
AbstractModern information technology makes it possible to understand, model and predict human activities by analyzing electronic traces of human behavior. In this work, we analyze more than 30 million Call Data Records (CDRs) to investigate statistical properties and temporal properties of calling behavior. We find that ranked call frequency of each number can be described by a two-stage power law function. The distribution of call duration is much different and can be described by a bimodal log-normal function. Further, we confirm that both call frequency and call duration are related with circadian cycles. During daylight, call duration is strongly correlated with call frequency. However, during evening and midnight, the pattern of call duration is much different with the pattern of call frequency. Our findings have significant impact on modeling human calling activity and optimizing telecommunication services.
Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/26757
Collection数字工厂研究室
Corresponding AuthorGui J(桂珺)
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China
3.University of Chinese Academy of Sciences, Beijing 100049, China
4.Shenyang University of Technology, School of Information Science and Engineering, Shenyang 110870, China
Recommended Citation
GB/T 7714
Gui J,Zheng ZY,Zhao, Xuefeng,et al. Statistical Properties and Temporal Properties of Calling Behavior[C]. NEW YORK:IEEE,2019:1940-1944.
Files in This Item: Download All
File Name/Size DocType Version Access License
Statistical Properti(197KB)会议论文 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Gui J(桂珺)]'s Articles
[Zheng ZY(郑泽宇)]'s Articles
[Zhao, Xuefeng]'s Articles
Baidu academic
Similar articles in Baidu academic
[Gui J(桂珺)]'s Articles
[Zheng ZY(郑泽宇)]'s Articles
[Zhao, Xuefeng]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Gui J(桂珺)]'s Articles
[Zheng ZY(郑泽宇)]'s Articles
[Zhao, Xuefeng]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Statistical Properties and Temporal Properties of Calling Behavior.pdf
Format: Adobe PDF
This file does not support browsing at this time
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.