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Modeling the growth of future web

Published: 19 May 2004 Publication History

Abstract

The future Web can be imagined as a life network consisting of resource nodes and semantic relationship links between them. Any node has a life span from birth - adding it to the network - to death - removing it from the network. Through establishing and investigating two types of models for such a network, we obtain the same scale free distribution of semantic links. Simulations and comparisons validate the rationality of the proposed models.

References

[1]
L. A. N. Amaral, A. Scala et al., Classes of Small-World Networks, Proceedings of the National Academy of Sciences, 97, 2000, pp.11149--11152.
[2]
S. N. Dorogovtsev, J. F. F. Mendes, Scaling Behaviour of Developing and Decaying Networks, Europhys. Lett.52, 2000, pp.33--39.
[3]
P. L. Krapivsky, S. Redner, A statistical physics perspective on Web growth, Computer Networks 39, 2002, pp.261--276.
[4]
M. Levene, T. Fenner, G. Loizou, R. Wheeldon, A stochastic model for the evolution of the Web, Computer Networks, 39, 2002, pp.277--287.
[5]
Knowledge Grid Forum, http://www.knowledgegrid.net.

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  • (2009)Analysis and modeling of the semantically associated network on the WebConcurrency and Computation: Practice and Experience10.1002/cpe.153022:7(767-787)Online publication date: 15-Oct-2009

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cover image ACM Conferences
WWW Alt. '04: Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
May 2004
532 pages
ISBN:1581139128
DOI:10.1145/1013367
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 May 2004

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Author Tags

  1. distribution
  2. evolution
  3. power law
  4. web

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Cited By

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  • (2009)Analysis and modeling of the semantically associated network on the WebConcurrency and Computation: Practice and Experience10.1002/cpe.153022:7(767-787)Online publication date: 15-Oct-2009

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