skip to main content
10.1145/1531674.1531686acmconferencesArticle/Chapter ViewAbstractPublication PagesgroupConference Proceedingsconference-collections
research-article

Cluestr: mobile social networking for enhanced group communication

Published:10 May 2009Publication History

ABSTRACT

Recent technological advances foster the spreading of social software in the mobile domain. Hence, future usage patterns of mobile devices will involve more group interaction. While collaboration using mobile devices is an active area of research, only limited attention has been paid to the efficient initiation of group communication from mobile terminals. In this paper we present a community-aware mechanism that allows to efficiently select contacts in order to address them as a group. We have integrated the proposed method into a proof-of-concept application, and present preliminary experiments that demonstrate the accuracy of the approach and show significant time savings in the group initialization process.

References

  1. F. Bentley and C. J. Metcalf. Sharing motion information with close family and friends. In CHI, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. U. Brandes, M. Gaertler, and D. Wagner. Experiments on graph clustering algorithms. In ESA, 2003.Google ScholarGoogle ScholarCross RefCross Ref
  3. S. Counts. Group-based mobile messaging in support of the social side of leisure. Computer Supported Cooperative Work, 16(1--2), 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. G. Cselle, K. Albrecht, and R. Wattenhofer. Buzztrack: topic detection and tracking in email. In IUI, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. S. Farnham and P. Keyani. Swarm: Hyper awareness, micro coordination, and smart convergence through mobile group text messaging. In HICSS, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. S. Farnham, W. Portnoy, A. Turski, L. Cheng, and D. Vronay. Personal map: Automatically modeling the user’s online social network. In INTERACT, 2003.Google ScholarGoogle Scholar
  7. M. Girvan and M. Newman. Community structure in social and biological networks. Proceedings of the National Academy of Sciences, 99(12), 2002.Google ScholarGoogle ScholarCross RefCross Ref
  8. S. Gregory. An algorithm to find overlapping community structure in networks. In PKDD, 2007.Google ScholarGoogle ScholarCross RefCross Ref
  9. S. Gregory. A fast algorithm to find overlapping communities in networks. In ECML/PKDD, 2008.Google ScholarGoogle ScholarCross RefCross Ref
  10. I. Guy, I. Ronen, and E. Wilcox. Do you know?: recommending people to invite into your social network. In IUI, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. T. Hirsch and J. Henry. Txtmob: text messaging for protest swarms. In CHI Extended Abstracts, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. R. Kikin-Gil. Affective is effective: how information appliances can mediate relationships within communities and increase one’s social effectiveness. Personal and Ubiquitous Computing, 10(2), 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. K. Lewis, J. Kaufman, M. Gonzalez, A. Wimmer, and N. Christakis. Tastes, ties, and time: A new social network dataset using Facebook. com. Social Networks, 30(4), 2008.Google ScholarGoogle Scholar
  14. P. J. Ludford, D. Frankowski, K. Reily, K. Wilms, and L. G. Terveen. Because i carry my cell phone anyway: functional location-based reminder applications. In CHI, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. M. Newman. Finding community structure in networks using the eigenvectors of matrices. Physical Review E, 74(3), 2006.Google ScholarGoogle ScholarCross RefCross Ref
  16. M. Newman. Modularity and community structure in networks. Proceedings of the National Academy of Sciences, 103(23), 2006.Google ScholarGoogle ScholarCross RefCross Ref
  17. M. Newman and M. Girvan. Finding and evaluating community structure in networks. Physical Review E, 69(2), 2004.Google ScholarGoogle Scholar
  18. V. Nicosia, G. Mangioni, V. Carchiolo, and M. Malgeri. Extending modularity definition for directed graphs with overlapping communities. 2008.Google ScholarGoogle Scholar
  19. Nokia. plazes.com. www.plazes.com, 2009. {Online; accessed 13-January-2009}.Google ScholarGoogle Scholar
  20. A. Oulasvirta, M. Raento, and S. Tiitta. ContextContacts: re-designing SmartPhone’s contact book to support mobile awareness and collaboration. In Mobile HCI, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. P. Persson and Y. Jung. Nokia sensor: from research to product. In Designing for User eXperience. AIGA: American Institute of Graphic Arts New York, NY, USA, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. I. Smith, S. Consolvo, J. Hightower, J. Hughes, G. Iachello, A. LaMarca, J. Scott, T. Sohn, and G. Abowd. Social Disclosure of Place: From Location Technology to Communication Practice. In Proc. Pervasive, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. J. C. Tang, N. Yankelovich, J. Begole, M. V. Kleek, F. C. Li, and J. R. Bhalodia. Connexus to awarenex: extending awareness to mobile users. In CHI, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. M. von Arb, M. Bader, M. Kuhn, and R. Wattenhofer. Veneta: Serverless friend-of-friend detection in mobile social networking. In WiMob, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. S. Wasserman, K. Faust, and D. Iacobucci. Social Network Analysis : Methods and Applications. Cambridge University Press, 1994.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Cluestr: mobile social networking for enhanced group communication

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        GROUP '09: Proceedings of the 2009 ACM International Conference on Supporting Group Work
        May 2009
        412 pages
        ISBN:9781605585000
        DOI:10.1145/1531674

        Copyright © 2009 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 10 May 2009

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article

        Acceptance Rates

        GROUP '09 Paper Acceptance Rate40of110submissions,36%Overall Acceptance Rate125of405submissions,31%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader