Skip to main content
SpringerLink
Log in

SpinRadar: a spontaneous service provision middleware for place-aware social interactions

  • Original Article
  • Published:
Personal and Ubiquitous Computing Aims and scope Submit manuscript

Abstract

With the advancements of mobile phones and the integration of multiple communication interfaces, online social interaction between users is no longer restricted to a specific place with connectivity to the Internet but can happen anywhere and at any time. This has promoted the development of mobile social applications to enable opportunistic interactions with co-located users. One of the challenging problems in such interactions is to discover interaction opportunities with nearby users. Existing works focus on properties related to mobile users in order to find similar users in the surrounding area; these works depend on predefined logic such as conditional statements to recommend spontaneous social interaction opportunities. However, the social implications of the place in which the interaction is taking place are an important factor for recommendations, as those implications provide hints about the most plausible types of interactions among co-located users. In this work, we present a middleware called SpinRadar which is designed to support spontaneous interactions between co-located users by taking into account the semantics of a place, which we call ‘placeness.’ Our evaluation shows that the proposed scheme satisfies users much more than existing schemes.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  1. Ziv ND, Mulloth B (2006) An exploration on mobile social networking: dodgeball as a case in point. In: 2006 international conference on mobile business, IEEE, pp 1–7. doi:10.1109/ICMB.2006.8

  2. Eagle N, Pentland A (2005) Social serendipity: mobilizing social software. Pervasive Computing, IEEE 4(2):28–34. doi:10.1109/MPRV.2005.37

    Article  Google Scholar 

  3. Lugano G (2007) Mobile social software: definition, scope and applications. In: eChallenges, pp 1434–1441

  4. PlayYoo. http://www.playyoo.com/. Accessed 26 March 2013

  5. Antoniadis P, Courcoubetis C (2006) The case of multi-hop peer-to-peer implementation of mobile social applications. In: 2006 international conference on systems and networks communications (ICSNC’06), IEEE, pp 5–10. doi:10.1109/ICSNC.2006.70

  6. Guo B, Zhang D, Yu Z, Zhou X (2012) Enhancing spontaneous interaction in opportunistic mobile social networks. Commun Mob Comput 1(1):1–6. doi:10.1186/2192-1121-1-6

    Article  Google Scholar 

  7. Liao HC, Liao KC (2006) INTRO: the design of a social-mobile framework for enhancing the social interactions. In: Taiwan academic network conference (TANET), 2006. pp 1–6

  8. Melinger D, Bonna K, Sharon M, SantRam M (2004) Socialight: a mobile social networking system. In: The 6th international conference on ubiquitous computing, nottingham, England, ACM Press, pp 1–2

  9. Quercia D, Capra L (2009) FriendSensing: recommending friends using mobile phones. In: The 3rd ACM conference on recommender systems, ACM Press, pp 273–276. doi:10.1145/1639714.1639766

  10. Quercia D, Ellis J, Capra L (2010) Using mobile phones to nurture social networks. IEEE Pervas Comput 9(3):12–20. doi:10.1109/MPRV.2010.43

    Article  Google Scholar 

  11. Morr CE, Kawash J (2007) Mobile virtual communities research: a synthesis of current trends and a look at future perspectives. Int J Web-based Communities 3(4):386–403. doi:10.1504/IJWBC.2007.015865

    Article  Google Scholar 

  12. Gupta A, Kalra A, Boston D, Borcea C (2008) MobiSoC: a middleware for mobile social computing applications. J Mob Netw Appl 14(1):35–52. doi:10.1007/s11036-008-0114-9

    Article  Google Scholar 

  13. Bottazzi D, Montanari R, Toninelli A (2007) Context-aware middleware for anytime. Anywhere Social Networks. IEEE Intell Syst 22(5):23–32. doi:10.1109/MIS.2007.85

    Article  Google Scholar 

  14. Harrison S, Dourish P (1996) Re-place-ing space. In: The 1996 ACM conference on computer supported cooperative work, ACM Press, pp 67–76. doi:10.1145/240080.240193

  15. Guo B, Zhanga D, Wanga Z, Yua Z, Zhoua X (2013) Opportunistic IoT: exploring the harmonious interaction between human and the internet of things. J Netw Comput Appl. doi:10.1016/j.jnca.2012.12.028

    Google Scholar 

  16. Inglés Saura CJ, Delgado B, García Fernández JM, Ruiz Esteban C, Díaz Herrero A (2010) Sociometric types and social interaction styles in a sample of Spanish adolescents. Span J Psychol 13(2):730–740

    Article  Google Scholar 

  17. Dresden T (2010) Mobilis—a service platform for collaborative social applications. http://mobilisplatform.sourceforge.net/index.htm. Accessed 26 March 2013

  18. Lubke R, Schuster D, Schill A (2011) MobilisGroups: Location-based group formation in mobile social networks. In: 2011 IEEE international conference on pervasive computing and communications workshops (PERCOM Workshops), IEEE, pp 502–507. doi:10.1109/PERCOMW.2011.5766941

  19. Pietiläinen AK, Oliver E, LeBrun J, Varghese G, Diot C (2009) MobiClique: middleware for mobile social networking. In: The 2nd ACM workshop on online social networks—WOSN ‘09, ACM Press, pp 49–54. doi:10.1145/1592665.1592678

  20. Wen Z, Lin CY (2011) Improving user interest inference from social neighbors. In: The 20th ACM international conference on information and knowledge management, pp 1001–1006. doi:10.1145/2063576.2063720

  21. Wen Z, Lin CY (2010) On the quality of inferring interests from social neighbors. In: The 16th ACM SIGKDD international conference on Knowledge discovery and data mining, ACM Press, pp 373–382. doi:10.1145/1835804.1835853

  22. Sharma A, Malu M PopCore: a system for network-centric recommendations. In: The 2013 conference on computer supported cooperative work companion. ACM Press, pp 31–34. doi:10.1145/2441955.2441964

  23. White R, Bailey P (2009) Predicting user interests from contextual information. In: The 32nd international ACM SIGIR conference on research and development in information retrieval, ACM Press, pp 363–370. doi:10.1145/1571941.1572005

  24. Fukazawa Y, Ota J (2010) Automatic modeling of user’s real world activities from the web for semantic IR. In: The 3rd international semantic search workshop, ACM Press, pp 1–9. doi:10.1145/1863879.1863884

  25. Hao Q, Cai R, Wang C, Xiao R, Yang JM, Pang Y, Zhang L (2010) Equip tourists with knowledge mined from travelogues. In: The 19th international conference on world wide web, ACM Press, pp 401–410. doi:10.1145/1772690.1772732

  26. Adams B, McKenzie B (2013) Inferring thematic places from spatially referenced natural language descriptions. In: Sui D, Elwood S, Goodchild M (eds) Crowdsourcing geographic knowledge. Springer Netherlands, Dordrecht, pp 201–221. doi:10.1007/978-94-007-4587-2_12

    Chapter  Google Scholar 

  27. Lee R, Wakamiya S, Sumiya K (2012) Urban area characterization based on crowd behavioral lifelogs over Twitter. Pers Ubiquit Comput: 1–16. doi:10.1007/s00779-012-0510-9

  28. Abdelmoty AI, Smart P, Jones CB (2007) Building place ontologies for the semantic web: issues and approaches. In: The 4th ACM workshop on geographical information retrieval, ACM Press, pp 7–12. doi:10.1145/1316948.1316951

  29. Pereira FC, Alves A, Oliveirinha J, Biderman A (2009) Perspectives on semantics of the place from online resources. In: 2009 IEEE international conference on semantic computing, IEEE, pp 215–220. doi:10.1109/ICSC.2009.23

  30. Antunes B, Alves A, Pereira F (2008) Semantics of Place: Ontology Enrichment. In: Geffner H, Prada R, Machado Alexandre I, David N (eds) Advances in artificial intelligence—IBERAMIA 2008, Lecture notes in computer science, vol 5290. Springer, Berlin, Heidelberg, pp 342–351. doi:10.1007/978-3-540-88309-8_35

    Google Scholar 

  31. Chon Y, Lane ND, Li F, Cha H, Zhao F Automatically characterizing places with opportunistic crowdsensing using smartphones. In: The 2012 ACM conference on ubiquitous computing, 2012. ACM Press, pp 481–490. doi:10.1145/2370216.2370288

  32. Kirmse A, Udeshi T, Bellver P, Shuma J (2011) Extracting patterns from location history. In: The 19th ACM SIGSPATIAL international conference on advances in geographic information systems, ACM Press, pp 397–400. doi:10.1145/2093973.2094032

  33. Zheng Y, Zhang L, Xie X, Ma WY (2009) Mining interesting locations and travel sequences from GPS trajectories. In: The 18th international conference on World wide web, ACM Press, pp 791–800. doi:10.1145/1526709.1526816

  34. Leenders RTAJ (2002) Modeling social influence through network autocorrelation: constructing the weight matrix. Soc Netw 24(1):21–47. doi:10.1016/S0378-8733(01)00049-1

    Article  Google Scholar 

  35. Wang H, Chin A (2011) Interplay between social selection and social influence on physical proximity in friendship formation. In: SRS 2011 workshop

  36. Backstrom L, Huttenlocher D, Kleinberg J (2006) Group formation in large social networks : membership, growth, and evolution. In: The 12th ACM SIGKDD international conference on knowledge discovery and data mining, ACM Press, pp 44–54. doi:10.1145/1150402.1150412

  37. Cosley D, Huttenlocher D, Kleinberg J (2008) Feedback effects between similarity and social influence in online communities. In: The 14th ACM SIGKDD international conference on knowledge discovery and data mining, ACM Press, pp 160–168. doi:10.1145/1401890.1401914

  38. Choi D, Park J, Choi KS (2012) Korean Treebank transformation for parser training. In: The ACL 2012 joint workshop on statistical parsing and semantic processing of morphologically rich languages, pp 78–88

  39. Magnusson D, Ekehammar B (1978) Similar situations—similar behaviors? J Res Pers 12(1):41–48. doi:10.1016/0092-6566(78)90081-8

    Article  Google Scholar 

  40. Wiese J, Kelley PG, Cranor LF, Dabbish L, Hong JI, Zimmerman J (2011) Are you close with me? are you nearby? In: The 13th international conference on ubiquitous computing, 2011. ACM Press, pp 197–206. doi:10.1145/2030112.2030140

  41. Guy I, Ur S, Ronen I, Perer A (2011) Do you want to know? Recommending strangers in the enterprise. In: The ACM 2011 conference on computer supported cooperative work, ACM Press, pp 285–294. doi:10.1145/1958824.1958867

  42. Paulos E, Goodman E (2004) The familiar stranger. In: The 2004 conference on human factors in computing systems, ACM Press, pp 223–230. doi:10.1145/985692.985721

  43. Schultz CD (2006) A trust framework model for situational contexts. In: The 2006 international conference on privacy, security and trust: bridge the gap between PST technologies and business services, ACM Press, pp 1–7. doi:10.1145/1501434.1501494

Download references

Acknowledgments

This research was supported by the KCC (Korea Communications Commission), Korea, under the R&D program supervised by the KCA (Korea Communications Agency) (KCA-2013-11911-05005).

Author information

Authors and Affiliations

  1. Korea Advanced Institute of Science and Technology, 335 Gwahak-ro, Yuseong-gu, Daejeon, 305-701, Korea

    Byoungoh Kim, Taehun Kim, Dongman Lee & Soon J. Hyun

Authors
  1. Byoungoh Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Taehun Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Dongman Lee
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Soon J. Hyun
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Dongman Lee.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kim, B., Kim, T., Lee, D. et al. SpinRadar: a spontaneous service provision middleware for place-aware social interactions. Pers Ubiquit Comput 18, 413–426 (2014). https://doi.org/10.1007/s00779-013-0659-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00779-013-0659-x

Keywords

Search

Navigation