Spatial tessellations: concepts and applications of Voronoi diagrams
Spatial tessellations: concepts and applications of Voronoi diagrams
Dynamics of complex systems
The small-world phenomenon: an algorithmic perspective
STOC '00 Proceedings of the thirty-second annual ACM symposium on Theory of computing
Reconciling schemas of disparate data sources: a machine-learning approach
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Chord: A scalable peer-to-peer lookup service for internet applications
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
A scalable content-addressable network
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
ACM Computing Surveys (CSUR)
Near Neighbor Search in Large Metric Spaces
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Pastry: Scalable, Decentralized Object Location, and Routing for Large-Scale Peer-to-Peer Systems
Middleware '01 Proceedings of the IFIP/ACM International Conference on Distributed Systems Platforms Heidelberg
SWAM: a family of access methods for similarity-search in peer-to-peer data networks
Proceedings of the thirteenth ACM international conference on Information and knowledge management
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A Peer-to-peer Data Network (PDN) is an open and evolving society of peer nodes that assemble into a network to share their data. We argue that with a self-organising, dynamic, and large-scale architecture, instead of traditional distributed computing systems, PDNs should be classified with natural complex systems (such as social networks). The 'complex system theory' is a meta-theory that provides a common modelling framework to study such complex systems under one umbrella. In this paper, for the first time we introduce and apply the complex system theory as a modelling framework to study PDNs.