The Convergence of Mobile, Social and Location Based Applications
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The Convergence of Mobile, Social and Location Based Applications

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The Convergence of Mobile, Social and Location Based Applications

The Convergence of Mobile, Social and Location Based Applications

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  • twitterfacebook updatessocial data moving over timesocial graphtimeline
  • ppl move from one place to another period (geo-location)ppl move for some purpose (social aspect).... there's a patternwhat are the chances that my 'motion' influencers are similar to some other person who could be in the same context? e.g. tourist? attending a conference?
  • creating a new experiencea framework that combines social + location3 components:capture: collect social + location based infosearch: mining that data, finding patternsvisualizatio: visualizing this data in a way that makes sense

Transcript

  • 1. Wilfred Mworia
  • 2. Where this talk fits in  Social  Mobile location  Mapping/Community/Participatory Mapping
  • 3. Some Takes from Twitter & Facebook  Social data over time  The concept of „Timeline‟  The „Social Graph‟  How does the „social graph‟ change over time…? Does this change have any significance
  • 4. ??? Social actions E.g. friend Invites (s) Time (t)
  • 5. Time  Things happen over time  Online Social Experience: capturing static points on a continuum – tweets, fb updates  These static points are relevant for various reasons:  Importance to self: what I value, what I find fun..  Importance to significant others: 'friends„  Where they happen e.g. I am having fun at WhereCampAfrica in Nairobi, new place - new experience  Time, or capturing (and sharing) moments in time  Mobile Enhanced
  • 6. Space  GPS  Lat, Lon  Commoditization – not hard to get a GPS enabled device  Social commoditization – „ku-facebook’ Mobile Enhanced
  • 7. Key Premises  People move from place to place, period (geo-location)  People move for some purpose, and have certain experiences there, and want to share those experiences (social)
  • 8.  What are the chances that my 'motion' influencers are similar to some other (known or unknown) person who could be in the same context? e.g. tourist in the same town? attending a conference?
  • 9. Creating a New Social Experience  A framework that combines social + location  NOT just social…. plus geotagging; but geo as a central component  Three components:  Capture: collect social + location based info  Mine: mining that data, finding patterns, search  Visualize: visualizing this data in a way that makes sense
  • 10. Case: GeoLife  A Microsoft Research (MSR Asia) Project  Xing Xie, Yu Zheng  “… GeoLife focuses on visualization, organization, fast retrieval, and effective understanding of GPS track logs for both personal and public use. [A] platform for people to effectively manage their GPS data… understand a person‟s past experience from GPS data.”
  • 11. Case: GeoLife  Sharing life experiences with GPS trajectories  Generic travel recommendation  Personalized location & friend recommendation
  • 12. GeoLife Architecture GeoLife: Managing and Understanding your Past Life over Maps. Yu Zheng et al.
  • 13. GeoLife: Managing and Understanding your Past Life over Maps. Yu Zheng et al.
  • 14. GeoLife: Managing and Understanding your Past Life over Maps. Yu Zheng et al.
  • 15. References  GeoLife: Building social networks using human location history http://research.microsoft.com/en- us/projects/geolife  GeoLife: Managing and Understanding your Past Life over Maps. Yu Zheng et al.  Longhao Wang, Yu Zheng, Xing Xie. A Flexible Spatio- Temporal Indexing Scheme for Large-Scale GPS Track Retrieval. In Proc. of MDM‟08, Beijing, China. 2008