Abstract
Over the last years, with the rapid advance in technology, it is becoming increasingly feasible for people to take advantage of the devices and services in the surrounding environment to remain “connected” and continuously enjoy the activity they are engaged in, be it sports, entertainment, or work. Such a ubiquitous computing environment will allow everyone permanent access to the Internet anytime, anywhere and anyhow [1]. Nevertheless, despite the evolution of services, social aspects remain in the roots of every human behavior and activities. Great examples of such phenomena are online social networks, which engage users in a way never seen before in the online world. At the same time, being aware and communicating context is a key part of human interaction and is a particularly powerful concept when applied to a community of users where services can be made more personalized and useful. Altogether, harvesting context to reason and learn about user behavior will further enhance the future multimedia vision where services can be composed and customized according to user context. Moreover, it will help us to understand users in a better way.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
N. Baker, M. Zafar, B. Moltchanov, and M. Knappmeyer, “Context-Aware Systems and Implications for Future Internet.” Future Internet Conference and Technical Workshops, Prague, Czech Republic, May 2009.
G. Antoniou and F. Harmelen, “A Semantic Web Primer”, 2nd Edition. The MIT Press, Cambridge, ISBN 0262012421, 2008.
C. Baladrón, et al., “User-Centric Future Internet and Telecommunication Services”, Towards the Future Internet, IOS Press, 2009.
M. Hassenzahl and N. Tractinsky, “User Experience – A Research Agenda”, Behaviour & Information Technology, Vol. 25(2), 2006, pp. 91–97.
GPP TR.32.808: 3rd Generation Partnership Project: Technical Specification Group Services and System Aspects; Telecommunication management; Study of Common Profile Storage (CPS) Framework for User Data for Network Services and Management (Release 8).
G. Bartolomeo and T. Kovacikova, “User Profile Management in Next Generation Networks”, Proceedings of the 5th Advanced International Conference on Telecommunications, Venice, May 2009.
R. Bekkerman, A. McCallum, and G. Huang, “Automatic Categorization of Email into Folders: Benchmark Experiments on Enron and SRI Corpora”, CIIR Technical Report IR-418, 2004.
T. Spring, et al., “A Comprehensive Approach for Situation-Awareness Based on Sensing and Reasoning about Context”, Ubiquitous Intelligence and Computing, LNCS, Vol. 5061, 2009, pp. 143–157.
M. Knappmeyer, N. Baker, S. Liaquat, R. Tönjes, “A Context Provisioning Framework to Support Pervasive and Ubiquitous Applications”, EuroSSC 2009, LNCS 5741, 2009, pp. 93–106.
U. Khan and A. Khan, “Social Networks Identification and Analysis Using Call Detail Records”, 2nd international Conference on interaction Sciences: information Technology, Culture and Human, ACM, Vol. 403, 2009, pp. 192–196.
D. Crandall, D. Cosley, D. Huttenlocher, J. Kleinberg, and S. Suri, “Feedback Effects Between Similarity and Social Influence in Online Communities”, Preceedings of the 14th ACM SIGKDD international Conference on Knowledge Discovery and Data Mining, Las Vegas, USA, 2008, pp. 160–168.
J. Mori, T. Tsujishita, Y. Matsuo, and M. Ishizuka, “Extracting Relations in Social Networks from the Web Using Similarity Between Collective Contexts”, The Semantic Web – ISWC 2006, Springer LNCS, Vol. 4273, 2006, pp. 487–500.
E. Clemons, S. Bernett, and A. Appadurai, “The Future of Advertising and the Value of Social Network Websites: Some Preliminary Examinations,” Proceedings of the 9th International Conference on Electronic Commerce, ACM Press, Minnesota, 2007.
A. Pentland, “Honest Signals: How They Shape Our World,” The MIT Press, Cambridge, ISBN-13:978–0262162562, 2008.
B. Schilit, N. Adams, and R. Want, “Context-Aware Computing Applications,” IEEE Workshop on Mobile Computing Systems and Applications (WMCSA’94), Santa Cruz, CA, US, 1994, pp. 89–101.
J. Simoes, P. Weik, and T. Magedanz, “The Human side of the Future Internet”, Towards the Future Internet, IOS Press, 2010, pp. 183–192, doi:10.3233/978-1-60750-539-6-183.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer Science+Business Media, LLC
About this chapter
Cite this chapter
Simoes, J., Magedanz, T. (2010). Understanding and Predicting Human Behavior for Social Communities. In: Furht, B. (eds) Handbook of Social Network Technologies and Applications. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-7142-5_20
Download citation
DOI: https://doi.org/10.1007/978-1-4419-7142-5_20
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-7141-8
Online ISBN: 978-1-4419-7142-5
eBook Packages: Computer ScienceComputer Science (R0)