Mor Naaman - Stony Brook Hybrid Geographies Seminar
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Mor Naaman - Stony Brook Hybrid Geographies Seminar

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Mor Naaman - Stony Brook Hybrid Geographies Seminar Mor Naaman - Stony Brook Hybrid Geographies Seminar Presentation Transcript

  • Social Media - Mor Naaman 2
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  • 5kkm
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  • Neighbourhood Boundaries by Tom Taylor http://boundaries.tomtaylor.co.uk/ 11
  • Kevin Lynch, 1960. ”The Image of the City” Social Media - Mor Naaman 12
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  • More “activity” in a certain location indicates the importance of that location Tags that are unique to a certain location can be used to represent the location Ahern et al. [JCDL 2007] Social Media - Mor Naaman 14
  • Ahern et al. [JCDL 2007] Social Media - Mor Naaman 15
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  • Stanley Milgram, 1976. ”Psychological Maps of Paris” Social Media - Mor Naaman 17
  • Y!RB, 2006 Tag Maps: World Explorer Social Media - Mor Naaman 18
  • Ahern et al. [JCDL 2007] http://tagmaps.research.yahoo.com Social Media - Mor Naaman 19
  • Kennedy et al. [MM 2007, WWW 2008] Social Media - Mor Naaman 20
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  • Flickr Trends Media - Mor Naaman Social by Kellan http://flickrtrends.appspot.com 23
  • TagLines by Yahoo! http://research.yahoo.com/taglines/ Social Media - Mor Naaman 24
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  • Rattenbury et al. [SIGIR 2007] Social Media - Mor Naaman 28
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  • Becker, Naaman, Gravano [WebDB 2009, WSDM 2009] Social Media - Mor Naaman 30
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  • Leveraging explicitly disclosed location information to understand tourist dynamics: a case study. Girardin et al., Journal of Location Based Services Digital Footprinting: Uncovering tourists with User-Generated Content. Girardin et al., IEEE PERVASIVE computing Social Media - Mor Naaman 32
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  • http://zonetag.research.yahoo.com Social Media - Mor Naaman 38
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  • CitySense by Sense Networks Social Media - Mor Naaman 40
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  • Naaman, Boase, Lai [CSCW 2010] Social Media - Mor Naaman 45
  • Informers
 Meformers
 Naaman, Boase, Lai [CSCW 2010] Social Media - Mor Naaman 46
  • Naaman, Boase, Lai [CSCW 2010] Social Media - Mor Naaman 47
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  • From Elizabeth Currid & Sarah Williams Social Media - Mor Naaman 49
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  • Volume
of
tweets,
mean
for
every
15
min
period
over
all
weekdays,
7pm
to
7pm
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