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Statistical and Machine Learning Approaches for Network Analysis
book

Statistical and Machine Learning Approaches for Network Analysis

by Matthias Dehmer, Subhash C. Basak
August 2012
Intermediate to advanced content levelIntermediate to advanced
344 pages
10h 30m
English
Wiley
Content preview from Statistical and Machine Learning Approaches for Network Analysis

References

1. D.J. Watts, Small Worlds: The Dynamics of Networks Between Order and Randomness, Princeton University Press, New Jersey, 1999.

2. S.N. Dorogovtsev, J.F.F. Mendes, Evolution of Networks: From Biological Nets to the Internet and WWW, Oxford University Press, Oxford, 2003.

3. R. Pastor-Satorras, A. Vespignani, Evolution and Structure of the Internet: A Statistical Physics Approach, Cambridge University Press, Cambridge, 2004.

4. M.E.J. Newman, Networks: An Introduction, Oxford University Press, Oxford, 2010.

5. B. Bollobas, Random Graphs, Academic Press, London, 1985.

6. A.-L. Barabási, R. Albert, Emergence of scaling in random networks, Science 286, 509 (1999).

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13. L. Li, D. Alderson, J.C. Doyle, W. Willinger, Towards a theory of scale-free graphs: definition, properties, and implications, Inter. Math. 2, 431 (2005).

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15. G. Szabó, M. Alava, J. Kertész, Structural ...

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Publisher Resources

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