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arXiv 1701.06236cs.SIcs.CY
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双城记:利用社交媒体了解不同大都市地区的独特生活方式

Tales of Two Cities: Using Social Media to Understand Idiosyncratic Lifestyles in Distinctive Metropolitan Areas

Tianran Hu, Eric Bigelow, Jiebo Luo, Henry Kautz

摘要:

生活方式是了解个人身心生活、比较社会群体以及为改善人们生活提出建议的宝贵模型。在本文中,我们研究和比较生活在不同规模城市的人们的生活方式行为,利用免费提供的社交媒体数据作为传统调查方法的大规模,低成本的替代方案。我们使用大纽约市地区作为大城市的代表,大罗切斯特地区作为美国小城市的代表。我们采用矩阵因子分析作为一种无监督的方法来提取显着的流动性和工作-休息模式,为每个大都市地区内的大量用户。我们发现有趣的人类行为模式在更大的规模和更细的粒度比目前在以前的文献中,其中一些使我们能够定量比较个人的行为生活在大城市和那些生活在小城市。我们相信,我们基于社交媒体的生活方式分析方法是大数据时代社交计算的强大工具。

英文摘要:

Lifestyles are a valuable model for understanding individuals' physical and mental lives, comparing social groups, and making recommendations for improving people's lives. In this paper, we examine and compare lifestyle behaviors of people living in cities of different sizes, utilizing freely available social media data as a large-scale, low-cost alternative to traditional survey methods. We use the Greater New York City area as a representative for large cities, and the Greater Rochester area as a representative for smaller cities in the United States. We employed matrix factor analysis as an unsupervised method to extract salient mobility and work-rest patterns for a large population of users within each metropolitan area. We discovered interesting human behavior patterns at both a larger scale and a finer granularity than is present in previous literature, some of which allow us to quantitatively compare the behaviors of individuals of living in big cities to those living in small cities. We believe that our social media-based approach to lifestyle analysis represents a powerful tool for social computing in the big data age.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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