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Talks and Poster Presentations (with Proceedings-Entry):

F. Skopik, D. Schall, S. Dustdar:
"Supporting Network Formation through Mining under Privacy Constraints";
Talk: 10th Annual International Symposium on Applications and the Internet (SAINT 2010), Seoul, Korea; 2010-07-19 - 2010-07-23; in: "Proceedings of the 10th Annual International Symposium on Applications and the Internet (SAINT 2010)", IEEE Computer Society, (2010), ISBN: 978-0-7695-4107-5; 105 - 108.



English abstract:
Single professionals and small companies come
together and form virtual communities to compete with
global players. In these collaboration networks, the actual
business partners are discovered and alliances formed on
demand. However, it is impossible for single members to keep
track of the dynamics in large-scale networks. With the wide
adoption of service-oriented architectures (SOA), interactions
between partners have become observable. Monitoring collaborations
enables the inference of social relations and the
identification of successful partner compositions. Measuring
the quality of social relations, such as the degree of trust
based on the success of past interactions, are a powerful
means to support the formation of alliances. However, by
applying monitoring, also privacy concerns arise. In this
paper we deal with concepts and tools to support group
formations. We consider the trade-off between the benefits of
sharing personal profiles and accounting for privacy concerns
of the individual network members.

Keywords:
interaction monitoring, trust inference, group formation, privacy issues, service-centric collaborations


Related Projects:
Project Head Schahram Dustdar:
COIN


Created from the Publication Database of the Vienna University of Technology.