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BUILDING RANDOM TREES FROM BLOCKS*

Published online by Cambridge University Press:  19 November 2013

M. Gopaladesikan
Affiliation:
Department of Statistics, Purdue University, West Lafayette, Indiana 47907. E-mail: [email protected]
H. Mahmoud
Affiliation:
Department of Statistics, The George Washington University, Washington, D.C. 20052. E-mail: [email protected]
M.D. Ward
Affiliation:
Department of Statistics, Purdue University, West Lafayette, Indiana 47907. E-mail: [email protected]

Abstract

Many modern networks grow from blocks. We study the probabilistic behavior of parameters of a blocks tree, which models several kinds of networks. It grows from building blocks that are themselves rooted trees. We investigate the number of leaves, depth of nodes, total path length, and height of such trees. We use methods from the theory of Pólya urns and martingales.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2013 

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Footnotes

*

Dedicated to the memory of Philippe Flajolet.

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