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Introduction

  • Alvin Chin
  • Daqing Zhang
Chapter
Part of the Computational Social Sciences book series (CSS)

Abstract

We have come a long way from face-to-face communication to electronic communication. With mobile phones and devices, online social networks, and internet, we can connect our offline activities and experiences and share them online easily. Sensors in our phones and mobile devices collect context in order to record the activities that we do and the people that we meet. We can truly now do mobile social networking, that is, connect with people to create social networks directly through the phone, rather than connect to people indirectly by adding them on social networks on the phone, which we call social networking on mobile. This presents unique research challenges and opportunities which we introduce in this chapter, and outline the structure for the chapters in this book.

References

  1. Abrams, J. (2006). System, method and apparatus for connecting users in an online computer system based on their relationships within social networks. United States Patent 7069308. http://www.google.com/patents/US7069308?dq=Friendster+social+networking+patent&ei=LRS7UN-nCOaX1AWDhID4Aw. Accessed 2 Dec 2012.
  2. Blanchard, A. (2008). Sense of virtual community. In S. Kelsey & K. St. Amant (Eds.), Handbook of research on computer mediated communication (pp. 325–338). Hershey: Information Science Reference. doi: 10.4018/978-1-59904-863-5.ch025.CrossRefGoogle Scholar
  3. Chin, A., & Chignell, M. (2008). Automatic detection of cohesive subgroups within social hypertext: A heuristic approach. New Review of Hypermedia and Multimedia, 14(1), 121–143.CrossRefGoogle Scholar
  4. Chin, A., Xu, B., Hong, D., Wang, Y., Yin, F., Wang, X., Wang, W., & Fan, X. (2012). Using proximity and homophily to connect conference attendees in a mobile social network. In Proceedings of the IEEE ICDCS’12 international workshop on PhoneCom (pp. 1–8). Macau, China: IEEE Press.Google Scholar
  5. Erickson, T., & Herring, S. (2004). Persistent conversation: A dialog between research and design. In Proceedings of the 37th annual Hawaii international conference on system sciences, Hawaii, USA. Vol. 1. doi:  10.1109/HICSS.2004.1265280.
  6. Java, A., Song, X., Finin, T., & Tseng, B. (2007). Why we twitter: Understanding microblogging usage and communities. In Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis (WebKDD/SNA-KDD ’07) (pp. 56–65). New York: ACM. doi: 10.1145/1348549.1348556 http://doi.acm.org/10.1145/1348549.1348556
  7. Kirkpatrick, D. (2010). The Facebook effect: The inside story of the company that is connecting the world. New York: Simon and Schuster.Google Scholar
  8. Lee, Y. S., & Cho, S. B. (2011). Human activity inference using hierarchical Bayesian network in mobile contexts. In B-L. Lu, L. Zhang, & J. Kwok (Eds.), Proceedings of the 18th international conference on neural information processing: Vol Part I. (ICONIP’11) (pp. 38–45). Berlin/Heidelberg: Springer-Verlag. doi: 10.1007/978-3-642-24955-6_5 http://dx.doi.org/10.1007/978-3-642-24955-6_5.
  9. Lindqvist, J., Cranshaw, J., Wiese, J., Hong, J., & Zimmerman, J. (2011). I’m the mayor of my house: Examining why people use Foursquare – A social-driven location sharing application. In Proceedings of the SIGCHI conference on human factors in computing systems (CHI ’11) (pp. 2409–2418). New York: ACM. doi: 10.1145/1978942.1979295 http://doi.acm.org/10.1145/1978942.1979295.
  10. McMillan, D. W., & Chavis, D. M. (1986). Sense of community: A definition and theory. Journal of Community Psychology, 14, 6–23.CrossRefGoogle Scholar
  11. Milgram, S. (1967). The small world problem. Psychology Today, 2, 60–67.Google Scholar
  12. Rheingold, H. (2000). The virtual community: Homesteading on the electronic frontier. Cambridge: MIT Press.Google Scholar
  13. Rivlin, G. (2006). Wallflower at the web party. New York Times. http://www.nytimes.com/2006/10/15/business/yourmoney/15friend.html?_r=1. Accessed 2 Dec 2012.
  14. Siewiorek, D., Smailagic, A., Furukawa, J., Krause, A., Moraveji, N., Reiger, K., Shaffer, J., & Wong, F. L. (2003). SenSay: A context-aware mobile phone. In Proceedings of the 7th IEEE international symposium on wearable computers (ISWC ’03) (pp. 248–256). Washington, DC: IEEE Computer Society.Google Scholar
  15. Watts, D. J., & Strogatz, S. H. (1998). Collective dynamics of ‘small-world’ networks. Nature, 393(6684), 440–442.ADSCrossRefGoogle Scholar
  16. Xu, B., Chin, A., Wang, H., Chang, L., Zhang, K., Yin, F., Wang, H., & Zhang, L. (2011). Physical proximity and online user behavior in an indoor mobile social networking application. In Proceedings of IEEE CPSCom 2011 (pp. 273–282). doi: 10.1109/iThings/CPSCom.2011.74.

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.Xpress Internet Services China, NokiaBeijingChina
  2. 2.Institut Mines-Telecom/Telecom SudParisEvry CedexFrance

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