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摘要:
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.
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篇名 Understanding the Behavioral Differences Between American and German Users: A Data-Driven Study
来源期刊 大数据挖掘与分析(英文) 学科 工学
关键词 BEHAVIORAL DIFFERENCE online social networks Yelp machine learning
年,卷(期) 2018,(4) 所属期刊栏目
研究方向 页码范围 284-296
页数 13页 分类号 TP311.13
字数 语种
DOI
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研究主题发展历程
节点文献
BEHAVIORAL
DIFFERENCE
online
social
networks
Yelp
machine
learning
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
大数据挖掘与分析(英文)
季刊
2096-0654
10-1514/G2
出版文献量(篇)
91
总下载数(次)
3
总被引数(次)
0
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