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Linking People ThroughPhysical Proximity in aConferenceAlvin Chin, Bin Xu, Hao Wang and XiaWangMobile Social Experiences T...
Outline    • Motivation and research problem    • Contributions    • Physical proximity and social linking in a conference...
Motivation                                               How do I know this                                               ...
People connect with each other becauseof    • Social selection          • Homophily and similarities            (McPherson...
Proximity    • Using location and human mobility for friendship (Cho       et al, 2011)    • Encounters to determine who t...
Research problem    • Can physical proximity affect people to make      connections and link to each other?    • Hypothesi...
Offline Improves Friend RecommendationXu et al. Using Physical Context in a Mobile Social Networking Application for Impro...
Contributions    • Examine the relationship between physical proximity      and online social connections in an indoor env...
Similar work    • Conferator (Atzmueller et al, 2011)    • Live Social Semantics (Barrat et al, 2010)    • IntelliBadge (C...
Find & Connect     • Find people, rooms, sessions, papers in a conference     • Connect people together through social lin...
Recording physical proximityNokia Research Center11                        Company Confidential
Social linking in a conference     • Friend     • Following     • Exchange contactsNokia Research Center12                ...
Find attendees on a map @ UIC 2010     Chang et al, Enhancing the Experience and Efficiency at a Conference with Mobile So...
Connect @UIC with others from feeds andmessages     Chang et al, Enhancing the Experience and Efficiency at a Conference w...
Find & Connect @ GCJKXu, B. et al, Physical Proximity and Online User Behavior in an Indoor Mobile Social NetworkingApplic...
Network propertiesNokia Research Center16                        Company Confidential
Proximity vs. social linking networks     • Proximity encounters form a highly tight and dense       network compared with...
Offline encounters influences onlineconnection @ UICNokia Research Center18                        Company Confidential
Offline encounters influences onlineconnection @ GCJKNokia Research Center19                        Company Confidential
Average encounter frequency occur inbursts @ UICNokia Research Center20                        Company Confidential
Average encounter frequency @ GCJKNokia Research Center21                        Company Confidential
How physical proximity affects social linking     • More than 2 hours before social linking – social       selection is we...
Conclusions     • Hypothesis 1 on social selection – not supported     • Hypothesis 2 on social influence – supported     ...
Future work     • Collect longitudinal data for longer period of time     • Study transitions from online and offline and ...
Alvin Chin     Nokia Research Center, Beijing     alvin.chin@nokia.com     http://research.nokia.com/people/alvin_chin    ...
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Linking People Through Physical Proximity in a Conference

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Workshop talk from Modeling Social Media 2012 workshop @ Hypertext 2012 conference http://www.kde.cs.uni-kassel.de/ws/msm2012/

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Transcript of "Linking People Through Physical Proximity in a Conference"

  1. 1. Linking People ThroughPhysical Proximity in aConferenceAlvin Chin, Bin Xu, Hao Wang and XiaWangMobile Social Experiences TeamNRC Growth Economies LabModeling Social Media workshop 2012Nokia Research Center
  2. 2. Outline • Motivation and research problem • Contributions • Physical proximity and social linking in a conference • Find & Connect • Network properties • Relationship between physical proximity and social linking in Find & Connect • Conclusions and future workNokia Research Center2 Company Confidential
  3. 3. Motivation How do I know this friend? Why should I add him/her?Nokia Research Center3 Company Confidential
  4. 4. People connect with each other becauseof • Social selection • Homophily and similarities (McPherson et al, 2001; Guy et al, 2010) • Social influence • Joining an online community (Backstrom et al, 2006) • Consumer desires, behaviours and technology adoption (Vannoy et al, 2010)Nokia Research Center4 Company Confidential
  5. 5. Proximity • Using location and human mobility for friendship (Cho et al, 2011) • Encounters to determine who to add as friend (Aka- Aki; Quercia and Capra, 2009) • Introduce people and infer one’s social network (Eagle and Pentland, 2005) • Enhancing social interactions at conferences (Barrat et al, 2010)Nokia Research Center5 Company Confidential
  6. 6. Research problem • Can physical proximity affect people to make connections and link to each other? • Hypothesis 1: more physical interactions will result in an increased probability for a person to add another as a social connection (social selection) • Hypothesis 2: establishing these connections will result in an increased number of physical proximities between each other (social influence)Nokia Research Center6 Company Confidential
  7. 7. Offline Improves Friend RecommendationXu et al. Using Physical Context in a Mobile Social Networking Application for Improving FriendRecommendations, 1st International Workshop on Sensing, Networking and Computing onSmartphones, In Proc. of CPSCom 2011, 2011 Nokia Research Center 7 Company Confidential
  8. 8. Contributions • Examine the relationship between physical proximity and online social connections in an indoor environment for a conferenceNokia Research Center8 Company Confidential
  9. 9. Similar work • Conferator (Atzmueller et al, 2011) • Live Social Semantics (Barrat et al, 2010) • IntelliBadge (Cox et al, 2003)Nokia Research Center9 Company Confidential
  10. 10. Find & Connect • Find people, rooms, sessions, papers in a conference • Connect people together through social linking using physical proximity and homophilyNokia Research Center10 Company Confidential
  11. 11. Recording physical proximityNokia Research Center11 Company Confidential
  12. 12. Social linking in a conference • Friend • Following • Exchange contactsNokia Research Center12 Company Confidential
  13. 13. Find attendees on a map @ UIC 2010 Chang et al, Enhancing the Experience and Efficiency at a Conference with Mobile Social Networking: Case Study with Find & Connect, In Proc. of HumanCom 2011, 2011Nokia Research Center13 Company Confidential
  14. 14. Connect @UIC with others from feeds andmessages Chang et al, Enhancing the Experience and Efficiency at a Conference with Mobile Social Networking: Case Study with Find & Connect, In Proc. of HumanCom 2011, 2011Nokia Research Center14 Company Confidential
  15. 15. Find & Connect @ GCJKXu, B. et al, Physical Proximity and Online User Behavior in an Indoor Mobile Social NetworkingApplication", In Proc. of the 4th IEEE International Conference on Cyber, Physical and SocialComputing (CPSCom 2011), Dalian, China, 1-10. Nokia Research Center 15 Company Confidential
  16. 16. Network propertiesNokia Research Center16 Company Confidential
  17. 17. Proximity vs. social linking networks • Proximity encounters form a highly tight and dense network compared with social linking networks • Follow social influence theory of 3 degrees of separation (Cacioppo et al, 2009)Nokia Research Center17 Company Confidential
  18. 18. Offline encounters influences onlineconnection @ UICNokia Research Center18 Company Confidential
  19. 19. Offline encounters influences onlineconnection @ GCJKNokia Research Center19 Company Confidential
  20. 20. Average encounter frequency occur inbursts @ UICNokia Research Center20 Company Confidential
  21. 21. Average encounter frequency @ GCJKNokia Research Center21 Company Confidential
  22. 22. How physical proximity affects social linking • More than 2 hours before social linking – social selection is weak • At most 2 hours before social linking – sharp rise in encounters, social selection becoming strong • 2 hours after social linking – social influence dominates • Eventually proximity encounters flattens outNokia Research Center22 Company Confidential
  23. 23. Conclusions • Hypothesis 1 on social selection – not supported • Hypothesis 2 on social influence – supported • Contact and encounter networks follow social influence theory of 3 degrees of separation Cacioppo, J.T., Fowler, J.H., and Christakis, N.A. Alone in the crowd: the structure and spread of loneliness in a large social network. Journal of Personality and Social Psychology, 97, 6 (2009), 977.Nokia Research Center23 Company Confidential
  24. 24. Future work • Collect longitudinal data for longer period of time • Study transitions from online and offline and vice versa to create user behaviour model • Create algorithm to mine encounters to identify groups that indicate activity-based social networks (ephemeral social networks)Nokia Research Center24 Company Confidential
  25. 25. Alvin Chin Nokia Research Center, Beijing alvin.chin@nokia.com http://research.nokia.com/people/alvin_chin Facebook: Alvin Chin (alvin.chin@utoronto.ca) LinkedIn: alvin.chin@nokia.com Twitter: gadgetman4u Sina Weibo: http://weibo.com/2106762242 (gadgetman) Foursquare: Alvin Chin (alvin.chin@nokia.com) Google+: ubiquitousdude@gmail.comNokia Research Center25 Company Confidential
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