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SUMMARY:Measuring Urban Social Diversity Using Interconnected Geo-Social N
 etworks - Desislava Hristova (Computer Lab)
DTSTART:20160310T150000Z
DTEND:20160310T160000Z
UID:TALK64200@talks.cam.ac.uk
CONTACT:Liang Wang
DESCRIPTION:Large metropolitan cities bring together diverse individuals\,
  creating\nopportunities for cultural and intellectual exchanges\, which c
 an\nultimately lead to social and economic enrichment. In this work\,\nwe 
 present a novel network perspective on the interconnected nature\nof peopl
 e and places\, allowing us to capture the social diversity\nof urban locat
 ions through the social network and mobility patterns\nof their visitors. 
 We use a dataset of approximately 37K users and\n42K venues in London to b
 uild a network of Foursquare places and\nthe parallel Twitter social netwo
 rk of visitors through check-ins.\nWe define four metrics of the social di
 versity of places which relate\nto their social brokerage role\, their ent
 ropy\, the homogeneity\nof their visitors and the amount of serendipitous 
 encounters they\nare able to induce. This allows us to distinguish between
  places\nthat bring together strangers versus those which tend to bring to
 gether\nfriends\, as well as places that attract diverse individuals as\no
 pposed to those which attract regulars. We correlate these properties\nwit
 h wellbeing indicators for London neighbourhoods and\ndiscover signals of 
 gentrification in deprived areas with high entropy\nand brokerage\, where 
 an influx of more affluent and diverse\nvisitors points to an overall impr
 ovement of their rank according to\nthe UK Index of Multiple Deprivation f
 or the area over the five-year\ncensus period. Our analysis sheds light on
  the relationship between\nthe prosperity of people and places\, distingui
 shing between different\ncategories and urban geographies of consequence t
 o the development\nof urban policy and the next generation of socially-awa
 re\nlocation-based applications.\n\nBIO: https://www.cl.cam.ac.uk/~dh475/\
 n
LOCATION:FW26\, Computer Laboratory\, William Gates Building
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