利用互联地理社会网络测量城市社会多样性

Desislava Hristova, Matthew J. Williams, Mirco Musolesi, P. Panzarasa, C. Mascolo
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引用次数: 122

摘要

大城市将不同的人聚集在一起,为文化和知识交流创造了机会,最终可以带来社会和经济的丰富。在这项工作中,我们提出了一种新的网络视角来看待人和地点的相互联系,使我们能够通过社会网络和游客的流动模式来捕捉城市地点的社会多样性。我们使用伦敦大约37K用户和42K场地的数据集,通过签到建立一个Foursquare地点网络和平行的Twitter社交网络。我们定义了四个衡量地方社会多样性的指标,这些指标与它们的社会中介作用、熵、游客的同质性以及它们能够引起的偶然相遇的数量有关。这使我们能够区分那些把陌生人聚集在一起的地方和那些倾向于把朋友聚集在一起的地方,以及那些吸引不同个人的地方和那些吸引常客的地方。我们将这些房产与伦敦社区的福祉指标联系起来,发现了高熵和经纪的贫困地区中产阶级化的信号,在那里,更富裕和多样化的游客的涌入表明,根据该地区在五年人口普查期间的英国多重剥夺指数,他们的排名总体上有所提高。我们的分析揭示了人与地方的繁荣之间的关系,区分了不同的类别和城市地理对城市政策的发展和下一代基于社会意识的基于位置的应用程序的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measuring Urban Social Diversity Using Interconnected Geo-Social Networks
Large metropolitan cities bring together diverse individuals, creating opportunities for cultural and intellectual exchanges, which can ultimately lead to social and economic enrichment. In this work, we present a novel network perspective on the interconnected nature of people and places, allowing us to capture the social diversity of urban locations through the social network and mobility patterns of their visitors. We use a dataset of approximately 37K users and 42K venues in London to build a network of Foursquare places and the parallel Twitter social network of visitors through check-ins. We define four metrics of the social diversity of places which relate to their social brokerage role, their entropy, the homogeneity of their visitors and the amount of serendipitous encounters they are able to induce. This allows us to distinguish between places that bring together strangers versus those which tend to bring together friends, as well as places that attract diverse individuals as opposed to those which attract regulars. We correlate these properties with wellbeing indicators for London neighbourhoods and discover signals of gentrification in deprived areas with high entropy and brokerage, where an influx of more affluent and diverse visitors points to an overall improvement of their rank according to the UK Index of Multiple Deprivation for the area over the five-year census period. Our analysis sheds light on the relationship between the prosperity of people and places, distinguishing between different categories and urban geographies of consequence to the development of urban policy and the next generation of socially-aware location-based applications.
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