Introducing social aspects to search in peer-to-peer networks

  • Authors:
  • Simon Schenk

  • Affiliations:
  • FH NORDAKADMIE, Elmshorn, Germany

  • Venue:
  • WM'05 Proceedings of the Third Biennial conference on Professional Knowledge Management
  • Year:
  • 2005

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Abstract

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.