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The Social Compute Unit
May/June 2011 (vol. 15 no. 3)
pp. 64-69
Schahram Dustdar, Technical University of Vienna
Kamal Bhattacharya, IBM Research — India

Social computing is perceived mainly as a vehicle for establishing and maintaining private relationships and thus lacks mainstream adoption in enterprises. Collaborative computing, however, is firmly established, but no tight integration of the two approaches exists. Here, the authors look at how to integrate people, in the form of human-based computing, and software services into one composite system.

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3. D. Schall and S. Dustdar, "Dynamic Context-Sensitive PageRank for Expertise Mining," Proc. 2nd Int'l Conf. Social Informatics (SocInfo 10), Springer, 2010, pp. 160–175.
4. C. Dorn and S. Dustdar, "Composing Near-Optimal Expert Teams: A Trade-Off between Skills and Connectivity," Proc. 18th Int'l Conf. Cooperative Information Systems (CoopIS 10), Springer, 2010, pp. 27–29.
5. F. Skopik, D. Schall, and S. Dustdar, "Modeling and Mining of Dynamic Trust in Complex Service-Oriented Systems," Elsevier Information Systems J., vol. 35, no. 7, 2010, pp. 735–757.

Index Terms:
social computing, service-oriented computing, workflow, social compute unit, social compute power
Citation:
Schahram Dustdar, Kamal Bhattacharya, "The Social Compute Unit," IEEE Internet Computing, vol. 15, no. 3, pp. 64-69, May-June 2011, doi:10.1109/MIC.2011.68
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