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Complex Networks and Networked Data Mining

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Advanced Data Mining and Applications (ADMA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3584))

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Abstract

There have been numerous and various complex networks with the development of science, technology and human society, such as the Internet, the World Wide Web, the network of air lines, large-scale electric power networks, the structure of a piece of Very Large-Scale Integration (VLSI),the human social relationships, the neural networks, and the spreading path net of an infectious disease, etc. Even in the study on semantics of human language, the relationship between synonyms can also be represented and analyzed via complex networks. Most researchers widely apply the parameters of degree distribution, clustering coefficient and average distance to analyze efficiently the uncertainty of complex networks.

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Author information

Authors and Affiliations

  1. China Institute of Electronic System Engineering, Beijing, 100840

    Deyi Li, Guisheng Chen & Baohua Cao

Authors
  1. Deyi Li
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  2. Guisheng Chen
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  3. Baohua Cao
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Editor information

Editors and Affiliations

  1. School of Information Technology and Electrical Engineering, The University of Queensland, 4072, Brisbane, Queensland, Australia

    Xue Li

  2. The State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 430072, Wuhan, China

    Shuliang Wang

  3. School of ITEE, The Univ of Queensland, St. Lucia, 4072, QLD, Australia

    Zhao Yang Dong

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© 2005 Springer-Verlag Berlin Heidelberg

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Li, D., Chen, G., Cao, B. (2005). Complex Networks and Networked Data Mining. In: Li, X., Wang, S., Dong, Z.Y. (eds) Advanced Data Mining and Applications. ADMA 2005. Lecture Notes in Computer Science(), vol 3584. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527503_2

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  • DOI: https://doi.org/10.1007/11527503_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-27894-8

  • Online ISBN: 978-3-540-31877-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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