Measuring spatio-textual affinities in twitter between two urban metropolises.

Journal of Computational Social Science
Minda Hu, Mayank Kejriwal

Abstract

With increasing growth of both social media and urbanization, studying urban life through the empirical lens of social media has led to some interesting research opportunities and questions. It is well-recognized that as a 'social animal', most humans are deeply embedded both in their cultural milieu and in broader society that extends well beyond close family, including neighborhoods, communities and workplaces. In this article, we study this embeddedness by leveraging urban dwellers' social media footprint. Specifically, we define and empirically study the issue of spatio-textual affinity by collecting many millions of geotagged tweets collected from two diverse metropolises within the United States: the Boroughs of New York City, and the County of Los Angeles. Spatio-textual affinity is the intuitive hypothesis that tweets coming from similar locations (spatial affinity) will tend to be topically similar (textual affinity). This simple definition of the problem belies the complexity of measuring it, since (re-tweets notwithstanding) two tweets are never truly identical either spatially or textually. Workable definitions of affinity along both dimensions are required, as are appropriate experimental designs, visualizations an...Continue Reading

References

Feb 7, 2009·Science·David LazerMarshall Van Alstyne
Jun 6, 2012·PloS One·Anastasios NoulasCecilia Mascolo
May 3, 2013·PloS One·Delia MocanuAlessandro Vespignani
Jan 23, 2015·International Journal of Psychology : Journal International De Psychologie·Ed Diener, Louis Tay
Jul 17, 2015·Journal of the Royal Society, Interface·Maxime LenormandJosé J Ramasco

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