Quantifying crowd size with mobile phone and Twitter data

被引：98

作者：

Botta, Federico ^{[1
,2
]}

Moat, Helen Susannah ^{[2
]}

Preis, Tobias ^{[2
]}

机构：

[1] Univ Warwick, Warwick Business Sch, Ctr Complex Sci, Coventry CV4 7AL, W Midlands, England

[2] Univ Warwick, Warwick Business Sch, Data Sci Lab, Behav Sci, Coventry CV4 7AL, W Midlands, England

来源：

ROYAL SOCIETY OPEN SCIENCE | 2015年 / 2卷 / 05期

基金：

英国工程与自然科学研究理事会;

关键词：

data science; computational social science; complex systems; BEHAVIOR;

D O I：

10.1098/rsos.150162

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Being able to infer the number of people in a specific area is of extreme importance for the avoidance of crowd disasters and to facilitate emergency evacuations. Here, using a football stadium and an airport as case studies, we present evidence of a strong relationship between the number of people in restricted areas and activity recorded by mobile phone providers and the online service Twitter. Our findings suggest that data generated through our interactions with mobile phone networks and the Internet may allow us to gain valuable measurements of the current state of society.

引用

页数：6

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