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(2005) Professional knowledge management, Berlin, Springer.
Searching social networks is determined by two factors: reputation and relevance. Reputation is the memory and summary of behavior from past transactions. Relevance is the probability that useful information can be obtained from a person. Search in social networks is performed by asking persons of high relevance and a good reputation or persons who are supposed to know somebody like that. We describe how these social aspects can be used in peer-to-peer networks in order to increase efficiency and scalability. Based on a social peer-to-peer network a knowledge management application with advantages over centralized approaches can be implemented.
Publication details
DOI: 10.1007/11590019_27
Full citation:
Schenk, S. (2005)., Introducing social aspects to search in peer-to-peer networks, in K. Dieter Althoff, A. Dengel, R. Bergmann & M. Nick (eds.), Professional knowledge management, Berlin, Springer, pp. 234-242.
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