Understanding the Behavioral Differences Between American and German Users: A Data-Driven Study

Given that the USA and Germany are the most populous countries in North America and Western Europe, understanding the behavioral differences between American and German users of online social networks is essential. In this work, we conduct a data-driven study based on the Yelp Open Dataset. We demon...

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Main Authors: Chenxi Yang, Yang Chen, Qingyuan Gong, Xinlei He, Yu Xiao, Yuhuan Huang, Xiaoming Fu
Format: Article
Language:English
Published: Tsinghua University Press 2018-12-01
Series:Big Data Mining and Analytics
Subjects:
Online Access:https://www.sciopen.com/article/10.26599/BDMA.2018.9020024
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author Chenxi Yang
Yang Chen
Qingyuan Gong
Xinlei He
Yu Xiao
Yuhuan Huang
Xiaoming Fu
author_facet Chenxi Yang
Yang Chen
Qingyuan Gong
Xinlei He
Yu Xiao
Yuhuan Huang
Xiaoming Fu
author_sort Chenxi Yang
collection DOAJ
description Given that the USA and Germany are the most populous countries in North America and Western Europe, understanding the behavioral differences between American and German users of online social networks is essential. In this work, we conduct a data-driven study based on the Yelp Open Dataset. We demonstrate the behavioral characteristics of both American and German users from different aspects, i.e., social connectivity, review styles, and spatiotemporal patterns. In addition, we construct a classification model to accurately recognize American and German users according to the behavioral data. Our model achieves high classification performance with an F1-score of 0.891 and AUC of 0.949.
format Article
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institution Kabale University
issn 2096-0654
language English
publishDate 2018-12-01
publisher Tsinghua University Press
record_format Article
series Big Data Mining and Analytics
spelling doaj-art-a0aa95823e0a46e9ac7345c2379721782025-02-02T06:00:36ZengTsinghua University PressBig Data Mining and Analytics2096-06542018-12-011428429610.26599/BDMA.2018.9020024Understanding the Behavioral Differences Between American and German Users: A Data-Driven StudyChenxi Yang0Yang Chen1Qingyuan Gong2Xinlei He3Yu Xiao4Yuhuan Huang5Xiaoming Fu6<institution content-type="dept">School of Computer Science</institution>, <institution>Fudan University</institution>, <city>Shanghai</city> <postal-code>200433</postal-code>, <country>China</country>, and the <institution content-type="dept">Engineering Research Center of Cyber Security Auditing and Monitoring</institution>, <institution>Ministry of Education</institution>, <city>Shanghai </city><postal-code>200433</postal-code>, <country>China</country>.<institution content-type="dept">School of Computer Science</institution>, <institution>Fudan University</institution>, <city>Shanghai</city> <postal-code>200433</postal-code>, <country>China</country>, and the <institution content-type="dept">Engineering Research Center of Cyber Security Auditing and Monitoring</institution>, <institution>Ministry of Education</institution>, <city>Shanghai </city><postal-code>200433</postal-code>, <country>China</country>.<institution content-type="dept">School of Computer Science</institution>, <institution>Fudan University</institution>, <city>Shanghai</city> <postal-code>200433</postal-code>, <country>China</country>, and the <institution content-type="dept">Engineering Research Center of Cyber Security Auditing and Monitoring</institution>, <institution>Ministry of Education</institution>, <city>Shanghai </city><postal-code>200433</postal-code>, <country>China</country>.<institution content-type="dept">School of Computer Science</institution>, <institution>Fudan University</institution>, <city>Shanghai</city> <postal-code>200433</postal-code>, <country>China</country>, and the <institution content-type="dept">Engineering Research Center of Cyber Security Auditing and Monitoring</institution>, <institution>Ministry of Education</institution>, <city>Shanghai </city><postal-code>200433</postal-code>, <country>China</country>.<institution content-type="dept">Department of Communications and Networking</institution>, <institution>Aalto University</institution>, <postal-code>02150</postal-code> <city>Espoo</city>, <country>Finland</country>.<institution content-type="dept">Faculty of European Languages and Cultures</institution>, <institution>Guangdong University of Foreign Studies</institution>, <city>Guangzhou</city> <postal-code>510420</postal-code>, <country>China</country>.<institution content-type="dept">Institute of Computer Science</institution>, <institution>University of Göttingen</institution>, <postal-code>37077</postal-code> <city>Göttingen</city>, <country>Germany</country>.Given that the USA and Germany are the most populous countries in North America and Western Europe, understanding the behavioral differences between American and German users of online social networks is essential. In this work, we conduct a data-driven study based on the Yelp Open Dataset. We demonstrate the behavioral characteristics of both American and German users from different aspects, i.e., social connectivity, review styles, and spatiotemporal patterns. In addition, we construct a classification model to accurately recognize American and German users according to the behavioral data. Our model achieves high classification performance with an F1-score of 0.891 and AUC of 0.949.https://www.sciopen.com/article/10.26599/BDMA.2018.9020024behavioral differenceonline social networksyelpmachine learning
spellingShingle Chenxi Yang
Yang Chen
Qingyuan Gong
Xinlei He
Yu Xiao
Yuhuan Huang
Xiaoming Fu
Understanding the Behavioral Differences Between American and German Users: A Data-Driven Study
Big Data Mining and Analytics
behavioral difference
online social networks
yelp
machine learning
title Understanding the Behavioral Differences Between American and German Users: A Data-Driven Study
title_full Understanding the Behavioral Differences Between American and German Users: A Data-Driven Study
title_fullStr Understanding the Behavioral Differences Between American and German Users: A Data-Driven Study
title_full_unstemmed Understanding the Behavioral Differences Between American and German Users: A Data-Driven Study
title_short Understanding the Behavioral Differences Between American and German Users: A Data-Driven Study
title_sort understanding the behavioral differences between american and german users a data driven study
topic behavioral difference
online social networks
yelp
machine learning
url https://www.sciopen.com/article/10.26599/BDMA.2018.9020024
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