Enhancing Mobile Social Networks with Ambient Intelligence

  • Kevin Doolin
  • Nick Taylor
  • Micheal Crotty
  • Mark Roddy
  • Edel Jennings
  • Ioanna Roussaki
  • David McKitterick
Part of the Computational Social Sciences book series (CSS)


Mobile social computing has exploded into people’s lives during the past 10 years, but to become truly pervasive it needs to be much more context-aware and personalizable. The next generation of social media needs to be able to react and adapt to the physical environments in which people live and act. The SOCIETIES project is integrating research undertaken in the field of pervasive computing with social computing to develop the next generation of social media systems. The vehicle for this is the “pervasive community”, and this chapter outlines the innovations required to realize this concept. Pervasive communities can restore the symbiosis between our digital and physical worlds.


Context Information Pervasive Computing User Intent Smart Space Social Computing 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



  This work was supported in part by the European Commission as part of the SOCIETIES project under the FP7 programme which the authors gratefully acknowledge. The authors also wish to thank our colleagues in the project, without whom this paper would not have been possible (SOCIETIES 2011). Note that apart from funding this project, the European Commission has no responsibility for the content of this chapter.


  1. DAIDALOS, (2012). Project Website. Accessed 16 Nov 2012.
  2. Doolin, K., Roussaki, I., Roddy, M., Kalatzis, N., Papadopoulou, E., Taylor, N. K., Liampotis, N., McKitterick, D., Jennings, E., & Kosmides, P. (2012). SOCIETIES: Where pervasive meets social. Future Internet Assembly Book, 1, 30–41.CrossRefGoogle Scholar
  3. Floch, J., Angermann, M., Jennings, E., & Roddy, M. (2012). Exploring cooperating smart spaces for efficient collaboration in disaster management. Vancouver: ISCRAM.Google Scholar
  4. Gallacher, S., Papadopoulou, E., Taylor, N.K., Blackmun, F.R., Williams, M.H., Roussaki, I., Kalatzis, N., Liampotis, N., & Zhang, D. (2011). Personalisation in a system combining pervasiveness and social networking. In 20th International Conference on Computer Communications and Networks (ICCCN 2011). Maui.Google Scholar
  5. Gallacher, S., Papadopoulou, E., Taylor, N.K., Blackmun, F.R., & Williams, M.H. (2012). Intelligent systems that combine pervasive computing and social networking. In 9th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC 2012). Fukuoka.Google Scholar
  6. Gonçalves, J., Gomes, D., & Aguiar, R. (2012). Low-latency privacy-enabled context distribution architecture. In IEEE Communication Software Services and Multimedia Applications Symposium (IEEE ICC 2012). Ottawa.Google Scholar
  7. Greenfield, A. (2006). Everyware: The dawning age of ubiquitous computing. Berkeley: New Riders.Google Scholar
  8. Hansmann, U., Merk, L., Nicklous, M., & Stober, T. (2012). Pervasive computing: The mobile world (2nd ed.). New York: Springer.Google Scholar
  9. Jennings, E., Madden, E., Roddy, M., & Roussaki, I. (2011). Participative user research and evaluation methodologies for pervasive communities. In Irish Human Computer Interaction Conference 2011 (iHCI 2011), Integrated Practice Inclusive Design (CIT). Cork.Google Scholar
  10. Lima, C., Gomes, D., & Aguiar, R. (2012). Pervasive CSCW for smart spaces communities. In IEEE International Conference on Pervasive Computing and Communications Workshops 2012 (PERCOM Workshops 2012). Lugano.Google Scholar
  11. Lukowicz, P., Pentland, S., & Ferscha, A. (2012). From context awareness to socially aware computing. IEEE Pervasive Computing, 11(1), 32–41.CrossRefGoogle Scholar
  12. Obaidat, M. S., Denko, M., & Woungang, I. (2011). Pervasive computing and networking (1st ed.). Hoboken: Wiley.CrossRefGoogle Scholar
  13. Pallis, G., Zeinalipour-Yazti, D., & Dikaiakos, M. D. (2011). New directions in web data management. Studies in Computational Intelligence, 331, 213–234. doi: 10.1007/978-3-642-17551-0_8. Online Social Networks: Status and Trends.CrossRefGoogle Scholar
  14. Parthasarathy, S., Ruan, Y., & Satuluri, V. (2011). Community discovery in social networks: Applications, methods and emerging trends. In Social network data analytics Springer US (pp. 79–113). doi:  10.1007/978-1-4419-8462-3_4.
  15. PERSIST. (2012). Project Website. Accessed 16 Nov 2012.
  16. Roussaki, I., Kalatzis, N., Liampotis, N., Kosmides, P., Anagnostou, M., Doolin, K., Jennings, E., Bouloudis, Y., & Xynogalas, S. (2012). Context-awareness in wireless and mobile computing revisited to embrace social networking. IEEE Communications Magazine, 50(6), 74–81.CrossRefGoogle Scholar
  17. Semertzidis, T., & Laso-Ballesteros, I.D.P. (2010). Social networks: Current trends and research challenges, coordinated by the next MEDIA coordination action.Google Scholar
  18. SOCIETIES Deliverable D2.1 Specification of initial scenarios and user requirements. Accessed 16 Nov 2012.
  19. SOCIETIES Deliverable D2.2 Scenario description, use cases and technical requirements specification. Accessed 16 Nov 2012.
  20. SOCIETIES Deliverable D8.1 Paper trial evaluation report. Accessed 16 Nov 2012.
  21. SOCIETIES deliverables. Accessed 16 Nov 2012.
  22. SOCIETIES Integrated Project. Full title: Self Orchestrating CommunIty ambiEnT IntelligEnce Spaces, Accessed 16 Nov 2012.
  23. SOCIETIES project partners. Accessed 16 Nov 2012.
  24. Xu, B., Chin, A., Wang, H., Chang, L., Zhang, K., Yin, F., & Zhang, L. (2011). Physical proximity and online user behaviour in an indoor mobile social networking application. In Internet of Things (iThings/CPSCom), 2011 International Conference on and 4th International Conference on Cyber, Physical and Social Computing (pp. 273–282), doi:  10.1109/iThings/CPSCom.2011.74.
  25. Zaphiris, P., & Ang, C. S. (2009). Social computing and virtual communities. Hoboken: Chapman and Hall/CRC/IGI Global.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Kevin Doolin
    • 1
  • Nick Taylor
    • 2
  • Micheal Crotty
    • 1
  • Mark Roddy
    • 1
  • Edel Jennings
    • 1
  • Ioanna Roussaki
    • 3
  • David McKitterick
    • 4
  1. 1.Telecommunications Software and Systems Group (TSSG)Waterford Institute of TechnologyWaterfordIreland
  2. 2.School of Mathematical and Computer Sciences, Heriot-Watt UniversityEdinburghUK
  3. 3.National Technical University of AthensZographou, AthensGreece
  4. 4.INTEL, Collinstown Industrial ParkLeixlipIreland

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