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    Urban Informatics
    Measuring Livability Across City Spaces


                 Chris Zimmerman – Copenhagen Business School
                 Kjeld Hansen – IT University of Copenhagen
* 41 Followers
* 21 Unique Tweeters
* 11 New Twitter Users

* 99 Total Tweets (Monday – Sunday)
* 29 Instagram + 16 Twitter Photos
* 0 Foursquare Checkins (forwarded)

* 16 #topical tags - 6 @people


     *
*
* Christopher Choa – Urban Planner
  * It starts with people
  * Cities are manifestations of collaboration
    * Trade and exchange
  * Plan for structure and serendipity – A kind of ‘loose-tight’
* Opportunities to Interact with People
   *   The main attraction
* The Human Scale
   *   Complex and vibrant
   *   Diversity and sensory experience
* Invitations to Use Space
   *   Private - Public
   *   Exclusive - Inclusive
* “Soft” Metrics
   *   Consider the perspective of the study
   *   Process over perception
   *   Integration of complexity – how does place integrate with space




                          *
*
*
*
*
*




    *FollowerWonk
*

  Mobile
  Sensors

Open   Social
Data   Noise
*

                     #biking




                               #walking


#coffee
            #copenhagen




                                     #stroget




          #canal
33
                     likes


                 2
                 retweets
  Micro-
blog/photo           1
                     comment




             *
* Lovett (2011:31-32): Signal, or “signal to
  noise ratio,” indicates that there is value in
  the message. This excludes someone tweeting
  what they had for lunch, which is definitely
  noise. Typically, signal can be viewed as sharing
  information, tagging with a hashtag, making a
  reference via a hyperlink, or generally
  contributing to the conversation.
* Noise: “… consumes your time and energy
  without offering much payout.”
* Signal: “… offers streamlined information
  that’s relevant to your cause.”


                   *
* Ubiquitous and pervasive computing: Mobile
 and social media enables computing to be
 woven into the social fabrics of our lives.


* The internet has taken a participatory turn:
 Social data is added because it adds value to
 the individual as well as overlaying purposes.


* Digital positivism: Epic Fail! Is it real, if it’s
 not on social media.


                  *
*Participants are both individuals and
 organisations.

*Participation is mutually constitutive.

*Potentially participants are both…
  *Users
  *Participants

                      *
*


Endorsements that can be measured:


1.   The ‘Like’ (Facebook, YouTube, etc)
2.   The Check-in (Facebook, Foresquare)
3.   The Photo (Instagram, Flickr, etc)
4.   The Review (Yelp, TripAdvisor)
5.   The Geo-located Post (Twitter, Facebook, and
     many more)
*

Endorsement Ratios of
a University Campus –
Why do they differ?

> Local understanding is
needed.




Source - Note: Statistics for
Facebook Places is in BETA. We are
currently only monitoring places
that have received over a minimum
number of check-ins.
* Copenhagen Airport (3 separate entries in the Top 25, and
 more than a quarter million check-ins in the top slot alone)
  * International travel is often a positive experience, an adventure,
   people like to document. It also doesn’t hurt that we have a
   sensational airport.
  * Also this hotbed for international people, whose exposure to say
   Americans who have adopted twitter and foursquare more, might
   mean there is a higher level of tweets and check-ins respectively.




                             *
*
The Feltron Report (feltron.com)
* Tivoli and Christiania (more likes than check-ins)
     * Two of the very top tourist attractions when you read
      about Copenhagen in any guidebook (bringing up the
      question again, what proportion of these social
      currencies are tourists vs locals?)
* The like is making a statement, it associates you
 with something. You become affiliated, endorsing
 the place wholeheartedly and on an ongoing basis.
 You are tying yourself to an idea of a place that you
 like. Whereas the check-in makes a different
 statement “Dave was here”, usually because he
 wants to be and maybe even wants people to know
 it.



                                         *
* Fitness Centres (4 in the top 25, and all have a
 dominance of check-ins – routines, inability to
 like more than once)
  * Many other comparisons can be made between
    shopping centers (Fields vs Fisketorvet) or
    between warm weather activities :Why does
    Bakken have more check-ins and Amager
    Strandpark more likes?)




      *
*
*
*




    *Gramfeed
*
*
*2012 - A year in Check-Ins
*
* http://trendsmap.com/?ll=55.6763_12.5681&z
 =10




        *
*




    *
Tool           Primary Usage        @   #   Additional features

Socialbro      Twitter              @   #   Custom listing, scheduling
               communities                  analysis, topic filtering

Followerwonk   Full social graph    @       Cross-world profiles, follower
               listing                      mapping


Sentiment140   Sentiment analysis       #   E-mail alert service
                                            (upon request)
Topsy          Topic and mention    @   #   E-mail alert service
               comparison
TweetCharts    Demographics &       @   #   Topic and mention analysis
               follower stats
TwitterVenn    Cross-world              #   Topic visualization
               Analysis
Gramsfeed      Instagram mapping        #

Cloud.li       Language             @   #   Filter-out feature




                   *
urbic.tumblr.com
     @roamingdata
    urbic@mail.com



*

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T17 urbics backchannel part ii

  • 1. * Urban Informatics Measuring Livability Across City Spaces Chris Zimmerman – Copenhagen Business School Kjeld Hansen – IT University of Copenhagen
  • 2. * 41 Followers * 21 Unique Tweeters * 11 New Twitter Users * 99 Total Tweets (Monday – Sunday) * 29 Instagram + 16 Twitter Photos * 0 Foursquare Checkins (forwarded) * 16 #topical tags - 6 @people *
  • 3. * * Christopher Choa – Urban Planner * It starts with people * Cities are manifestations of collaboration * Trade and exchange * Plan for structure and serendipity – A kind of ‘loose-tight’
  • 4. * Opportunities to Interact with People * The main attraction * The Human Scale * Complex and vibrant * Diversity and sensory experience * Invitations to Use Space * Private - Public * Exclusive - Inclusive * “Soft” Metrics * Consider the perspective of the study * Process over perception * Integration of complexity – how does place integrate with space *
  • 5.
  • 6.
  • 7. *
  • 8. *
  • 9. *
  • 10. *
  • 11. * *FollowerWonk
  • 12. * Mobile Sensors Open Social Data Noise
  • 13. * #biking #walking #coffee #copenhagen #stroget #canal
  • 14. 33 likes 2 retweets Micro- blog/photo 1 comment *
  • 15. * Lovett (2011:31-32): Signal, or “signal to noise ratio,” indicates that there is value in the message. This excludes someone tweeting what they had for lunch, which is definitely noise. Typically, signal can be viewed as sharing information, tagging with a hashtag, making a reference via a hyperlink, or generally contributing to the conversation. * Noise: “… consumes your time and energy without offering much payout.” * Signal: “… offers streamlined information that’s relevant to your cause.” *
  • 16. * Ubiquitous and pervasive computing: Mobile and social media enables computing to be woven into the social fabrics of our lives. * The internet has taken a participatory turn: Social data is added because it adds value to the individual as well as overlaying purposes. * Digital positivism: Epic Fail! Is it real, if it’s not on social media. *
  • 17. *Participants are both individuals and organisations. *Participation is mutually constitutive. *Potentially participants are both… *Users *Participants *
  • 18.
  • 19. * Endorsements that can be measured: 1. The ‘Like’ (Facebook, YouTube, etc) 2. The Check-in (Facebook, Foresquare) 3. The Photo (Instagram, Flickr, etc) 4. The Review (Yelp, TripAdvisor) 5. The Geo-located Post (Twitter, Facebook, and many more)
  • 20.
  • 21. * Endorsement Ratios of a University Campus – Why do they differ? > Local understanding is needed. Source - Note: Statistics for Facebook Places is in BETA. We are currently only monitoring places that have received over a minimum number of check-ins.
  • 22.
  • 23. * Copenhagen Airport (3 separate entries in the Top 25, and more than a quarter million check-ins in the top slot alone) * International travel is often a positive experience, an adventure, people like to document. It also doesn’t hurt that we have a sensational airport. * Also this hotbed for international people, whose exposure to say Americans who have adopted twitter and foursquare more, might mean there is a higher level of tweets and check-ins respectively. *
  • 24. * The Feltron Report (feltron.com)
  • 25. * Tivoli and Christiania (more likes than check-ins) * Two of the very top tourist attractions when you read about Copenhagen in any guidebook (bringing up the question again, what proportion of these social currencies are tourists vs locals?) * The like is making a statement, it associates you with something. You become affiliated, endorsing the place wholeheartedly and on an ongoing basis. You are tying yourself to an idea of a place that you like. Whereas the check-in makes a different statement “Dave was here”, usually because he wants to be and maybe even wants people to know it. *
  • 26. * Fitness Centres (4 in the top 25, and all have a dominance of check-ins – routines, inability to like more than once) * Many other comparisons can be made between shopping centers (Fields vs Fisketorvet) or between warm weather activities :Why does Bakken have more check-ins and Amager Strandpark more likes?) *
  • 27. *
  • 28. *
  • 29. * *Gramfeed
  • 30. *
  • 31. *
  • 32.
  • 33. *2012 - A year in Check-Ins
  • 34.
  • 35. *
  • 36.
  • 38. * *
  • 39. Tool Primary Usage @ # Additional features Socialbro Twitter @ # Custom listing, scheduling communities analysis, topic filtering Followerwonk Full social graph @ Cross-world profiles, follower listing mapping Sentiment140 Sentiment analysis # E-mail alert service (upon request) Topsy Topic and mention @ # E-mail alert service comparison TweetCharts Demographics & @ # Topic and mention analysis follower stats TwitterVenn Cross-world # Topic visualization Analysis Gramsfeed Instagram mapping # Cloud.li Language @ # Filter-out feature *
  • 40. urbic.tumblr.com @roamingdata urbic@mail.com *